Udacity Data Analyst Nanodegree nd002 v8 | 08776D73C98BA10E5078736D4A16B1FD8F2D5FAA

Udacity Data Analyst Nanodegree nd002 v8

Name	Udacity - Data Analyst Nanodegree nd002 v8.0.0	DOWNLOAD Copy Link
Total Size	10.5 GB
Total Files	12314
Hash	08776D73C98BA10E5078736D4A16B1FD8F2D5FAA

/Part 04-Module 01-Lesson 03_Admissions Case Study/
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10. Gender Bias Revisited-4YY-hmqSz30.pt-BR.vtt	0.2 KB
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10. Gender Bias Revisited-4YY-hmqSz30.zh-CN.vtt	0.2 KB
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06. Gender Bias-JWl8lPGhlbY.zh-CN.vtt	0.4 KB
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06. Gender Bias-JWl8lPGhlbY.ar.vtt	0.5 KB
04. Admissions 3-iKTYAsZLbhc.zh-CN.vtt	0.6 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.zh-CN.vtt	0.6 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.pt-BR.vtt	0.6 KB
04. Admissions 3-iKTYAsZLbhc.zh-Hans.vtt	0.6 KB
14. Conclusion-XiR_37bYA84.zh-CN.vtt	0.6 KB
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01. Admissions Case Study Introduction-FGbxq1hQgtk.en.vtt	0.7 KB
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14. Conclusion-XiR_37bYA84.en.vtt	0.7 KB
04. Admissions 3-iKTYAsZLbhc.pt-BR.vtt	0.7 KB
14. Conclusion-XiR_37bYA84.pt-BR.vtt	0.7 KB
11. Dangers Of Statistics-UYZXqP562qg.zh-CN.vtt	0.7 KB
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04. Admissions 3-iKTYAsZLbhc.ar.vtt	0.7 KB
07. Aggregation-55eZrE82TqA.hr.vtt	0.7 KB
11. Dangers Of Statistics-UYZXqP562qg.en.vtt	0.8 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.ar.vtt	0.8 KB
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11. Dangers Of Statistics-UYZXqP562qg.pt-BR.vtt	0.8 KB
14. Conclusion-XiR_37bYA84.ar.vtt	0.9 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.zh-CN.vtt	1.0 KB
07. Aggregation-55eZrE82TqA.ar.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.hr.vtt	1.1 KB
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11. Dangers Of Statistics-UYZXqP562qg.ar.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.ja.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.en.vtt	1.1 KB
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02. Admissions 1-CLgVLQAEYw8.it.vtt	1.1 KB
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02. Admissions 1-CLgVLQAEYw8.tr.vtt	1.2 KB
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02. Admissions 1-CLgVLQAEYw8.ar.vtt	1.5 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.ar.vtt	1.6 KB
index.html	4.5 KB
14. Conclusion.html	6.1 KB
11. Dangers of Statistics.html	6.2 KB
01. Admissions Case Study Introduction.html	6.3 KB
12. Text Recap + Next Steps.html	6.6 KB
07. Aggregation.html	8.1 KB
09. Aggregation 3.html	8.1 KB
08. Aggregation 2.html	8.1 KB
06. Gender Bias.html	8.2 KB
05. Admissions 4.html	8.3 KB
10. Gender Bias Revisited.html	8.4 KB
04. Admissions 3.html	8.6 KB
03. Admissions 2.html	8.7 KB
02. Admissions 1.html	9.0 KB
13. Case Study in Python.html	18.1 KB
/Part 16-Module 01-Lesson 04_Decision Trees/
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24. Information Gain Calculation Part 3-s_-I8mbrfw0.en.vtt	0.3 KB
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23. Information Gain Calculation Part 2-4YP0K-5c310.pt-BR.vtt	0.3 KB
12. Decision Tree Accuracy-1z5mVNdF1KA.pt-BR.vtt	0.3 KB
07. Constructing A Decision TreeThird Split-RxySNoOmXnc.ja.vtt	0.3 KB
29. Information Gain Calculation Part 8-c7UjSq7Fmr8.zh-CN.vtt	0.3 KB
07. Constructing A Decision TreeThird Split-RxySNoOmXnc.zh-CN.vtt	0.3 KB
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06. Class Labels After Second Split-A7KKnDmZBA0.zh-CN.vtt	0.3 KB
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18. Entropy Calculation Part 3-WmnGwUCW-Yc.ar.vtt	0.3 KB
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12. Decision Tree Accuracy-1z5mVNdF1KA.en.vtt	0.3 KB
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12. Decision Tree Accuracy-1z5mVNdF1KA.ar.vtt	0.4 KB
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31. Information Gain Calculation Part 10-o75xNa_jwvg.en.vtt	2.0 KB
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13. Data Impurity and Entropy-Bd15qhUrKCI.ja.vtt	2.5 KB
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31. Information Gain Calculation Part 10-o75xNa_jwvg.ar.vtt	2.6 KB
34. DT Strengths and Weaknesses-KGnhg76iRfI.en.vtt	2.8 KB
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34. DT Strengths and Weaknesses-KGnhg76iRfI.pt-BR.vtt	2.9 KB
34. DT Strengths and Weaknesses-KGnhg76iRfI.ja.vtt	3.0 KB
08. Coding A Decision Tree-YaZu4waSryo.zh-CN.vtt	3.0 KB
33. Bias-Variance Dilemma-W5uUYnSHDhM.ar.vtt	3.1 KB
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13. Data Impurity and Entropy-Bd15qhUrKCI.ar.vtt	3.3 KB
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08. Coding A Decision Tree-YaZu4waSryo.pt-BR.vtt	3.6 KB
10. Decision Tree Parameters-jkJ4dbbpVCQ.ja.vtt	3.6 KB
34. DT Strengths and Weaknesses-KGnhg76iRfI.ar.vtt	3.6 KB
08. Coding A Decision Tree-YaZu4waSryo.ja.vtt	3.7 KB
10. Decision Tree Parameters-jkJ4dbbpVCQ.ar.vtt	4.4 KB
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index.html	7.5 KB
21. Information Gain.html	10.0 KB
41. Accuracy Using 1 of Features.html	10.0 KB
13. Data Impurity and Entropy.html	10.1 KB
01. Welcome To Decision Trees.html	10.1 KB
34. DT Strengths and Weaknesses.html	10.1 KB
36. Decision Tree Mini-Project.html	10.1 KB
37. Your First Email DT Accuracy.html	10.1 KB
33. Bias-Variance Dilemma.html	10.2 KB
32. Tuning Criterion Parameter.html	10.2 KB
39. Changing the Number of Features.html	10.2 KB
35. Decision Tree Mini-Project Video.html	10.3 KB
40. SelectPercentile and Complexity.html	10.6 KB
15. Formula of Entropy.html	10.7 KB
38. Speeding Up Via Feature Selection 1.html	10.8 KB
28. Information Gain Calculation Part 7.html	11.5 KB
16. Entropy Calculation Part 1.html	11.6 KB
11. Min Samples Split.html	11.6 KB
23. Information Gain Calculation Part 2.html	11.6 KB
25. Information Gain Calculation Part 4.html	11.6 KB
30. Information Gain Calculation Part 9.html	11.6 KB
02. Linearly Separable Data.html	11.6 KB
22. Information Gain Calculation Part 1.html	11.6 KB
27. Information Gain Calculation Part 6.html	11.6 KB
31. Information Gain Calculation Part 10.html	11.7 KB
03. Multiple Linear Questions.html	11.7 KB
29. Information Gain Calculation Part 8.html	11.7 KB
17. Entropy Calculation Part 2.html	11.7 KB
18. Entropy Calculation Part 3.html	11.7 KB
14. Minimizing Impurity in Splitting.html	11.8 KB
19. Entropy Calculation Part 4.html	11.8 KB
20. Entropy Calculation Part 5.html	11.8 KB
24. Information Gain Calculation Part 3.html	11.9 KB
26. Information Gain Calculation Part 5.html	11.9 KB
06. Class Labels After Second Split.html	11.9 KB
09. Decision Tree Accuracy.html	12.1 KB
10. Decision Tree Parameters.html	12.3 KB
12. Decision Tree Accuracy.html	12.5 KB
05. Constructing a Decision Tree 2nd Split.html	12.5 KB
07. Constructing A Decision TreeThird Split.html	12.5 KB
04. Constructing a Decision Tree First Split.html	12.5 KB
08. Coding A Decision Tree.html	12.9 KB
/Part 16-Module 01-Lesson 02_Naive Bayes/
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32. Chris or Sara.html	11.6 KB
05. Features Visualization Quiz.html	11.7 KB
25. Prior and Posterior.html	11.7 KB
11. From Scatterplots to Predictions.html	11.7 KB
13. From Scatterplots to Decision Surfaces.html	11.8 KB
35. Why Is Naive Bayes Naive.html	11.8 KB
31. Bayes Rule for Classification.html	11.9 KB
06. Classification By Eye.html	11.9 KB
33. Posterior Probabilities.html	11.9 KB
14. A Good Linear Decision Surface.html	11.9 KB
24. Cancer Test.html	12.0 KB
12. From Scatterplots to Predictions 2.html	12.0 KB
34. Bayesian Probabilities On Your Own.html	12.0 KB
03. Supervised Classification Example.html	12.5 KB
10. Speed Scatterplot 3.html	12.6 KB
09. Speed Scatterplot 2.html	12.9 KB
08. Speed Scatterplot Grade and Bumpiness.html	13.2 KB
20. Calculating NB Accuracy.html	13.6 KB
19. GaussianNB Deployment on Terrain Data.html	19.8 KB
/Part 04-Module 01-Lesson 07_Bayes Rule/
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19. Disease Test 6-OdVAt79eQak.ja.vtt	0.8 KB
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21. Robot Sensing 1--TBAfU1cjRU.ar.vtt	0.8 KB
22. Robot Sensing 2-aBBmlnd7okQ.ja.vtt	0.8 KB
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01. Bayes Rules-CohZnkZMOxE.ar.vtt	0.9 KB
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02. Cancer Test-FnNveASivMA.ja.vtt	1.0 KB
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30. Sebastian At Home-TtmQ7YCw_1Y.ja.vtt	1.2 KB
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30. Sebastian At Home-TtmQ7YCw_1Y.es-ES.vtt	1.2 KB
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14. Disease Test 1-qDGSvvabN18.th.vtt	1.2 KB
09. Equivalent Diagram-aUFWZ2uJuBE.it.vtt	1.2 KB
29. Generalizing-SdMk3aROgSc.ja.vtt	1.2 KB
30. Sebastian At Home-R4zq6mPPMxs.zh-CN.vtt	1.2 KB
13. Normalizing Probability-yYqN9Mf4jqw.es-ES.vtt	1.3 KB
32. Reducing Uncertainty-zuFMhmKQ--o.zh-CN.vtt	1.3 KB
29. Generalizing-SdMk3aROgSc.en.vtt	1.3 KB
19. Disease Test 6-OdVAt79eQak.en-GB.vtt	1.3 KB
33. Bayes' Rule and Robotics-meNSO42JF6I.ar.vtt	1.3 KB
09. Equivalent Diagram-aUFWZ2uJuBE.pt-BR.vtt	1.3 KB
30. Sebastian At Home-TtmQ7YCw_1Y.pt-BR.vtt	1.3 KB
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13. Normalizing Probability-yYqN9Mf4jqw.pt-BR.vtt	1.4 KB
21. Robot Sensing 1-_DjfTytro6I.ja.vtt	1.4 KB
35. Using Sensor Data-vhl-SADfti8.zh-CN.vtt	1.4 KB
21. Robot Sensing 1-_DjfTytro6I.en.vtt	1.5 KB
09. Equivalent Diagram-aUFWZ2uJuBE.ar.vtt	1.5 KB
30. Sebastian At Home-R4zq6mPPMxs.en.vtt	1.5 KB
30. Sebastian At Home-R4zq6mPPMxs.es-ES.vtt	1.5 KB
30. Sebastian At Home-R4zq6mPPMxs.ja.vtt	1.5 KB
32. Reducing Uncertainty-zuFMhmKQ--o.en.vtt	1.5 KB
32. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt	1.5 KB
30. Sebastian At Home-TtmQ7YCw_1Y.ar.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.ja.vtt	1.6 KB
21. Robot Sensing 1-_DjfTytro6I.es-ES.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.zh-CN.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.pt-BR.vtt	1.6 KB
35. Using Sensor Data-vhl-SADfti8.en.vtt	1.6 KB
13. Normalizing Probability-yYqN9Mf4jqw.ar.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.en.vtt	1.7 KB
24. Robot Sensing 4-vasdN2Gol0M.es-ES.vtt	1.7 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.zh-CN.vtt	1.7 KB
29. Generalizing-SdMk3aROgSc.ar.vtt	1.8 KB
30. Sebastian At Home-R4zq6mPPMxs.pt-BR.vtt	1.8 KB
21. Robot Sensing 1-_DjfTytro6I.pt-BR.vtt	1.8 KB
35. Using Sensor Data-vhl-SADfti8.pt-BR.vtt	1.9 KB
32. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt	1.9 KB
30. Sebastian At Home-R4zq6mPPMxs.ar.vtt	1.9 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.en.vtt	2.0 KB
09. Equivalent Diagram-aUFWZ2uJuBE.en-GB.vtt	2.0 KB
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08. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt	2.0 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt	2.0 KB
21. Robot Sensing 1-_DjfTytro6I.ar.vtt	2.1 KB
13. Normalizing Probability-yYqN9Mf4jqw.th.vtt	2.1 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.it.vtt	2.1 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.pt-BR.vtt	2.2 KB
35. Using Sensor Data-vhl-SADfti8.ar.vtt	2.2 KB
24. Robot Sensing 4-vasdN2Gol0M.ar.vtt	2.3 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt	2.3 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt	2.5 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.en.vtt	2.6 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.ja.vtt	2.7 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.es-ES.vtt	2.7 KB
03. Prior And Posterior-o2Tpws5C2Eg.ja.vtt	2.9 KB
21. Robot Sensing 1-_DjfTytro6I.th.vtt	3.0 KB
24. Robot Sensing 4-vasdN2Gol0M.th.vtt	3.1 KB
03. Prior And Posterior-o2Tpws5C2Eg.zh-CN.vtt	3.1 KB
02. Cancer Test-CNpSrdnYvbo.pt-BR.vtt	3.1 KB
02. Cancer Test-CNpSrdnYvbo.zh-CN.vtt	3.1 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.pt-BR.vtt	3.2 KB
03. Prior And Posterior-o2Tpws5C2Eg.pt-BR.vtt	3.3 KB
02. Cancer Test-CNpSrdnYvbo.en.vtt	3.3 KB
02. Cancer Test-CNpSrdnYvbo.ja.vtt	3.4 KB
03. Prior And Posterior-o2Tpws5C2Eg.en.vtt	3.4 KB
03. Prior And Posterior-o2Tpws5C2Eg.es-ES.vtt	3.5 KB
02. Cancer Test-CNpSrdnYvbo.es-ES.vtt	3.5 KB
02. Cancer Test-CNpSrdnYvbo.it.vtt	3.5 KB
03. Prior And Posterior-o2Tpws5C2Eg.it.vtt	3.6 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.th.vtt	3.6 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.ar.vtt	3.9 KB
03. Prior And Posterior-o2Tpws5C2Eg.ar.vtt	4.3 KB
02. Cancer Test-CNpSrdnYvbo.ar.vtt	4.6 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.th.vtt	4.8 KB
02. Cancer Test-CNpSrdnYvbo.th.vtt	5.3 KB
03. Prior And Posterior-o2Tpws5C2Eg.th.vtt	5.7 KB
index.html	6.3 KB
35. Using Sensor Data.html	8.5 KB
32. Reducing Uncertainty.html	8.6 KB
37. Bayes Rule Conclusion.html	8.6 KB
33. Bayes' Rule and Robotics.html	8.6 KB
29. Generalizing.html	8.7 KB
20. Bayes Rule Summary.html	8.9 KB
01. Bayes Rule.html	8.9 KB
08. Bayes Rule Diagram.html	9.0 KB
09. Equivalent Diagram.html	9.3 KB
12. Normalizer.html	10.2 KB
30. Sebastian At Home.html	10.3 KB
24. Robot Sensing 4.html	10.4 KB
16. Disease Test 3.html	10.5 KB
17. Disease Test 4.html	10.5 KB
15. Disease Test 2.html	10.5 KB
27. Robot Sensing 7.html	10.5 KB
25. Robot Sensing 5.html	10.5 KB
26. Robot Sensing 6.html	10.5 KB
22. Robot Sensing 2.html	10.6 KB
23. Robot Sensing 3.html	10.7 KB
04. Normalizing 1.html	10.7 KB
05. Normalizing 2.html	10.7 KB
06. Normalizing 3.html	10.7 KB
11. Probability Given Test.html	10.7 KB
07. Total Probability.html	10.8 KB
18. Disease Test 5.html	10.8 KB
19. Disease Test 6.html	10.8 KB
28. Robot Sensing 8.html	11.1 KB
14. Disease Test 1.html	11.1 KB
03. Prior And Posterior.html	11.1 KB
13. Normalizing Probability.html	11.2 KB
10. Cancer Probabilities.html	11.3 KB
02. Cancer Test.html	11.5 KB
34. Learning from Sensor Data.html	11.9 KB
21. Robot Sensing 1.html	14.6 KB
36. Learning Objectives - Bayes' Rule.html	16.9 KB
31. Learning Objectives - Conditional Probability.html	18.3 KB
/Part 16-Module 01-Lesson 07_Regressions/
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22. Error Quiz-O5B-Z5SUoc8.en.vtt	0.6 KB
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05. Email Author Continuous or Discrete-GD9Bpjm31co.pt-BR.vtt	0.6 KB
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12. Slope Quiz-Kn9v0KGDsvc.pt-BR.vtt	0.6 KB
05. Email Author Continuous or Discrete-TpVxnYcI_uw.en.vtt	0.6 KB
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22. Error Quiz-PYNWtLgtRfU.en.vtt	0.6 KB
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index.html	7.8 KB
38. Regression Mini-Project.html	10.1 KB
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16. Handoff to Katie.html	10.3 KB
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21. Linear Regression Errors.html	10.4 KB
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25. Algorithms for Minimizing Squared Errors.html	10.5 KB
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43. Regression Score Test Data.html	10.6 KB
45. Salary vs. LTI for Predicting Bonus.html	10.7 KB
42. Regression Score Training Data.html	10.8 KB
30. R Squared Metric for Regression.html	10.9 KB
44. Regressing Bonus Against LTI.html	11.1 KB
40. Visualizing Regression Data.html	11.2 KB
22. Error Quiz.html	11.5 KB
15. Adding An Intercept.html	11.6 KB
41. Extracting Slope and Intercept.html	11.6 KB
02. Continuous Quiz.html	11.7 KB
14. Predictions Using Regression.html	11.7 KB
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29. Problem with SSE.html	12.0 KB
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06. Phone Number Continuous or Discrete.html	12.0 KB
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36. Multi-Variate Regression Quiz 2.html	12.5 KB
39. Bonus Target and Features.html	12.8 KB
23. Errors and Fit Quality.html	13.0 KB
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33. What Data Is Good For Linear Regression.html	13.5 KB
18. AgeNet Worth Regression in sklearn.html	13.6 KB
/Part 16-Module 01-Lesson 10_Feature Scaling/
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15. What Kind of Scaling.html	7.4 KB
16. Computing Rescaled Features.html	7.6 KB
17. When to Deploy Feature Scaling.html	7.8 KB
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03. Height + Weight for Cameron.html	8.2 KB
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08. Feature Scaling Formula Quiz 2.html	8.4 KB
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09. Feature Scaling Formula Quiz 3.html	8.6 KB
12. Quiz on Algorithms Requiring Rescaling.html	9.4 KB
10. MinMax Rescaler Coding Quiz.html	9.6 KB
/Part 16-Module 01-Lesson 13_PCA/
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28. PCA in sklearn-SBYdqlLgbGk.zh-CN.vtt	4.8 KB
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31. Eigenfaces Code-LgLYw-G4sLQ.zh-CN.vtt	5.6 KB
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31. Eigenfaces Code-LgLYw-G4sLQ.en.vtt	6.4 KB
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index.html	7.1 KB
28. PCA in sklearn-SBYdqlLgbGk.ar.vtt	7.2 KB
29. When to Use PCA-hJZHcmJBk1o.ar.vtt	7.6 KB
31. Eigenfaces Code-LgLYw-G4sLQ.ar.vtt	8.8 KB
31. Eigenfaces Code.html	9.3 KB
29. When to Use PCA.html	9.3 KB
32. PCA Mini-Project Intro.html	9.4 KB
26. Applying PCA to Real Data.html	9.4 KB
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06. PCA for Data Transformation.html	9.4 KB
23. PCA for Feature Transformation.html	9.4 KB
21. Info Loss and Principal Components.html	9.5 KB
28. PCA in sklearn.html	9.8 KB
36. F1 Score vs. No. of PCs Used.html	10.1 KB
33. PCA Mini-Project.html	10.1 KB
37. Dimensionality Reduction and Overfitting.html	10.2 KB
35. How Many PCs to Use.html	10.7 KB
18. Maximal Variance.html	10.8 KB
01. Data Dimensionality.html	10.8 KB
11. Practice Finding New Axes.html	10.8 KB
34. Explained Variance of Each PC.html	10.8 KB
03. One-Dimensional, or Two.html	10.9 KB
08. Principal Axis of New Coordinate System.html	10.9 KB
04. Slightly Less Perfect Data.html	10.9 KB
24. Maximum Number of PCs Quiz.html	10.9 KB
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10. Practice Finding Centers.html	10.9 KB
20. Maximal Variance and Information Loss.html	11.0 KB
07. Center of a New Coordinate System.html	11.1 KB
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19. Advantages of Maximal Variance.html	11.2 KB
38. Selecting Principal Components.html	11.2 KB
17. Composite Features.html	11.2 KB
14. Measurable vs. Latent Features Quiz.html	11.2 KB
27. PCA on the Enron Finance Data.html	11.3 KB
30. PCA for Facial Recognition.html	11.3 KB
22. Neighborhood Composite Feature.html	11.4 KB
09. Second Principal Component of New System.html	11.4 KB
15. From Four Features to Two.html	11.6 KB
13. When Does an Axis Dominate.html	11.8 KB
12. Which Data is Ready for PCA.html	11.8 KB
/Part 04-Module 01-Lesson 09_Normal Distribution Theory/
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14. Central Limit Theorem-36KLIHioAvA.pt-PT.vtt	0.8 KB
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08. Maximum-02v8ui9riew.zh-CN.vtt	1.1 KB
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15. Summary-VP-PMcgqhc8.ar.vtt	2.1 KB
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01. Maximum Probability-b2zvrFL8AUw.es-ES.vtt	2.2 KB
13. Formula Summary-zqo1RJEHT_0.pt-BR.vtt	2.3 KB
12. Normalizer-mQ_IjrtmmAk.ar.vtt	2.5 KB
01. Maximum Probability-b2zvrFL8AUw.pt-BR.vtt	2.6 KB
13. Formula Summary-zqo1RJEHT_0.ar.vtt	2.7 KB
02. Shape-DjsL64Kjr1Q.ar.vtt	2.7 KB
01. Maximum Probability-b2zvrFL8AUw.ar.vtt	2.8 KB
index.html	4.5 KB
15. Summary.html	6.3 KB
12. Normalizer.html	6.3 KB
13. Formula Summary.html	6.4 KB
11. Minimum Value.html	7.9 KB
09. Maximum Value.html	7.9 KB
01. Maximum Probability.html	8.0 KB
07. Quadratics 4.html	8.0 KB
03. Better Formula.html	8.1 KB
02. Shape.html	8.4 KB
08. Maximum.html	8.4 KB
05. Quadratics 2.html	8.4 KB
04. Quadratics.html	8.5 KB
06. Quadratics 3.html	8.5 KB
10. Minimum.html	8.7 KB
14. Central Limit Theorem.html	10.5 KB
/Part 04-Module 01-Lesson 05_Binomial Distribution/
02. Heads Tails-yo55zJtJQwo.zh-CN.vtt	0.1 KB
02. Heads Tails-yo55zJtJQwo.en.vtt	0.1 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.en.vtt	0.1 KB
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02. Heads Tails-yo55zJtJQwo.ja.vtt	0.1 KB
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04. 5 Flips 1 Head-VEfOdACY9rA.en.vtt	0.1 KB
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04. 5 Flips 1 Head-VEfOdACY9rA.zh-CN.vtt	0.2 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.ja.vtt	0.2 KB
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04. 5 Flips 1 Head-VEfOdACY9rA.es-ES.vtt	0.2 KB
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04. 5 Flips 1 Head-VEfOdACY9rA.ja.vtt	0.2 KB
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11. Binomial 2-Uy7b3aMPnEY.ja.vtt	0.2 KB
11. Binomial 2-d4LWnxyvrTQ.ja.vtt	0.2 KB
11. Binomial 2-Uy7b3aMPnEY.ar.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.zh-CN.vtt	0.2 KB
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14. Binomial 5-yof0QiP2mzk.zh-CN.vtt	0.2 KB
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03. Heads Tails 2-S87Z5DgPJeo.zh-CN.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.ja.vtt	0.2 KB
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14. Binomial 5-yof0QiP2mzk.es-ES.vtt	0.2 KB
04. 5 Flips 1 Head-VEfOdACY9rA.ar.vtt	0.2 KB
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04. 5 Flips 1 Head-VEfOdACY9rA.pt-BR.vtt	0.2 KB
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03. Heads Tails 2-vLhdJtXx060.es-ES.vtt	0.2 KB
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03. Heads Tails 2-vLhdJtXx060.ja.vtt	0.2 KB
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03. Heads Tails 2-vLhdJtXx060.zh-CN.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.es-ES.vtt	0.3 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.ja.vtt	0.3 KB
14. Binomial 5-yof0QiP2mzk.pt-BR.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.en.vtt	0.3 KB
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04. 5 Flips 1 Head-4LVRNqpdxsw.zh-CN.vtt	0.3 KB
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11. Binomial 2-Uy7b3aMPnEY.pt-BR.vtt	0.3 KB
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15. Binomial 6-CQHRYIU6v9Q.ja.vtt	0.3 KB
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01. Binomial-x1yamZeOMPY.zh-CN.vtt	0.3 KB
14. Binomial 5-yof0QiP2mzk.ar.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.ja.vtt	0.3 KB
15. Binomial 6-CQHRYIU6v9Q.zh-CN.vtt	0.3 KB
02. Heads Tails-iyX0-eXStbw.zh-CN.vtt	0.3 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.ar.vtt	0.3 KB
01. Binomial-x1yamZeOMPY.ja.vtt	0.3 KB
15. Binomial 6-CQHRYIU6v9Q.es-ES.vtt	0.3 KB
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13. Binomial 4-mvJUNYfHngY.pt-BR.vtt	0.5 KB
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12. Binomial 3-Jp2xJOtNQZ0.zh-CN.vtt	0.6 KB
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08. Formula-DTdS-LlMTQ0.en.vtt	0.9 KB
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05. 5 Flips 2 Heads-69je8wHh2mQ.en.vtt	1.1 KB
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07. 10 Flips 5 Heads-mOPFQlKBg2M.ar.vtt	1.2 KB
12. Binomial 3-YIELbuet-ZE.ja.vtt	1.2 KB
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05. 5 Flips 2 Heads-69je8wHh2mQ.pt-BR.vtt	1.2 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.pt-BR.vtt	1.3 KB
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13. Binomial 4-lPrKmvckG4E.ar.vtt	1.4 KB
12. Binomial 3-YIELbuet-ZE.pt-BR.vtt	1.5 KB
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06. 5 Flips 3 Heads-pOKmt4w8T3g.zh-CN.vtt	1.6 KB
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09. Arrangements-GeINbOOYkF8.en.vtt	1.7 KB
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06. 5 Flips 3 Heads-pOKmt4w8T3g.en.vtt	1.8 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.es-ES.vtt	1.8 KB
12. Binomial 3-YIELbuet-ZE.ar.vtt	1.9 KB
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09. Arrangements-GeINbOOYkF8.pt-BR.vtt	2.0 KB
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06. 5 Flips 3 Heads-pOKmt4w8T3g.ar.vtt	2.6 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.en.vtt	3.0 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.pt-BR.vtt	3.3 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.ar.vtt	4.0 KB
index.html	4.6 KB
16. Binomial Conclusion.html	6.4 KB
17. Text Recap + Next Steps.html	7.9 KB
01. Binomial.html	8.0 KB
13. Binomial 4.html	8.0 KB
12. Binomial 3.html	8.0 KB
15. Binomial 6.html	8.0 KB
14. Binomial 5.html	8.0 KB
02. Heads Tails.html	8.0 KB
09. Arrangements.html	8.1 KB
03. Heads Tails 2.html	8.1 KB
04. 5 Flips 1 Head.html	8.1 KB
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06. 5 Flips 3 Heads.html	8.1 KB
07. 10 Flips 5 Heads.html	8.1 KB
10. Binomial 1.html	8.2 KB
11. Binomial 2.html	8.2 KB
08. Formula.html	8.6 KB
/Part 04-Module 01-Lesson 06_Conditional Probability/
02. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt	0.1 KB
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03. Medical Example 2-VLLG0rYC7To.th.vtt	0.6 KB
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02. Medical Example 1-mFfbts1lAEo.th.vtt	0.8 KB
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11. Two Coins 1-QIQBb4nLsHc.ar.vtt	0.8 KB
09. Medical Example 8-btGdX0ZpkNU.ar.vtt	0.9 KB
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09. Medical Example 8-btGdX0ZpkNU.th.vtt	1.2 KB
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13. Two Coins 3-GO6kbL3QRBE.ar.vtt	1.5 KB
01. Introduction to Conditional Probability-Ok8948Wcbmo.zh-CN.vtt	1.6 KB
12. Two Coins 2-hoVOT8qcQ7c.pt-BR.vtt	1.6 KB
11. Two Coins 1-QIQBb4nLsHc.th.vtt	1.6 KB
12. Two Coins 2-hoVOT8qcQ7c.zh-CN.vtt	1.6 KB
10. Total Probability-YSYpzFR4k1I.ja.vtt	1.6 KB
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01. Introduction to Conditional Probability-Ok8948Wcbmo.en.vtt	1.8 KB
10. Total Probability-YSYpzFR4k1I.zh-CN.vtt	1.8 KB
12. Two Coins 2-hoVOT8qcQ7c.it.vtt	1.8 KB
13. Two Coins 3-JIWv5fU3GLA.zh-CN.vtt	1.8 KB
10. Total Probability-YSYpzFR4k1I.pt-BR.vtt	1.8 KB
04. Medical Example 3-Iz4ViIg9ZlQ.th.vtt	1.8 KB
13. Two Coins 3-JIWv5fU3GLA.pt-BR.vtt	1.9 KB
13. Two Coins 3-GO6kbL3QRBE.th.vtt	1.9 KB
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01. Introduction to Conditional Probability-Ok8948Wcbmo.pt-BR.vtt	1.9 KB
10. Total Probability-YSYpzFR4k1I.en.vtt	1.9 KB
10. Total Probability-YSYpzFR4k1I.es-ES.vtt	2.0 KB
10. Total Probability-YSYpzFR4k1I.it.vtt	2.0 KB
13. Two Coins 3-JIWv5fU3GLA.en.vtt	2.1 KB
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12. Two Coins 2-hoVOT8qcQ7c.ar.vtt	2.2 KB
14. Two Coins 4-9R44IyZ-aQI.th.vtt	2.3 KB
01. Introduction to Conditional Probability-Ok8948Wcbmo.ar.vtt	2.4 KB
15. Summary-yepMH9VswI8.ja.vtt	2.4 KB
03. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt	2.5 KB
15. Summary-yepMH9VswI8.zh-CN.vtt	2.5 KB
15. Summary-yepMH9VswI8.pt-BR.vtt	2.5 KB
13. Two Coins 3-JIWv5fU3GLA.ar.vtt	2.5 KB
10. Total Probability-YSYpzFR4k1I.ar.vtt	2.5 KB
15. Summary-yepMH9VswI8.en.vtt	2.7 KB
03. Medical Example 2-FV_hc3MzS_8.ja.vtt	2.8 KB
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15. Summary-yepMH9VswI8.es-ES.vtt	2.9 KB
15. Summary-yepMH9VswI8.it.vtt	2.9 KB
03. Medical Example 2-FV_hc3MzS_8.es-ES.vtt	3.1 KB
03. Medical Example 2-FV_hc3MzS_8.it.vtt	3.1 KB
03. Medical Example 2-FV_hc3MzS_8.pt-BR.vtt	3.2 KB
12. Two Coins 2-hoVOT8qcQ7c.th.vtt	3.3 KB
10. Total Probability-YSYpzFR4k1I.th.vtt	3.5 KB
15. Summary-yepMH9VswI8.ar.vtt	3.6 KB
13. Two Coins 3-JIWv5fU3GLA.th.vtt	3.6 KB
03. Medical Example 2-FV_hc3MzS_8.ar.vtt	4.0 KB
index.html	4.7 KB
15. Summary-yepMH9VswI8.th.vtt	4.7 KB
03. Medical Example 2-FV_hc3MzS_8.th.vtt	5.5 KB
01. Introduction to Conditional Probability.html	6.5 KB
15. Summary.html	6.7 KB
10. Total Probability.html	6.8 KB
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02. Medical Example 1.html	8.6 KB
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07. Medical Example 6.html	8.6 KB
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08. Medical Example 7.html	8.8 KB
09. Medical Example 8.html	8.8 KB
/Part 16-Module 01-Lesson 06_Datasets and Questions/
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11. Enron Dataset Mini-Project Video-0zGp5er3fy4.zh-CN.vtt	0.9 KB
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11. Enron Dataset Mini-Project Video-0zGp5er3fy4.en.vtt	1.0 KB
11. Enron Dataset Mini-Project Video-0zGp5er3fy4.pt-BR.vtt	1.1 KB
10. Types of Data Quiz 6-eqFgLu0eqBE.zh-CN.vtt	1.3 KB
11. Enron Dataset Mini-Project Video-0zGp5er3fy4.ar.vtt	1.4 KB
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05. Types of Data Quiz 1-YZb-Uam-Ics.pt-BR.vtt	3.2 KB
02. What Is A POI-wDQhif-MWuY.zh-CN.vtt	3.4 KB
02. What Is A POI-wDQhif-MWuY.pt-BR.vtt	3.9 KB
05. Types of Data Quiz 1-YZb-Uam-Ics.ar.vtt	4.0 KB
02. What Is A POI-wDQhif-MWuY.en.vtt	4.0 KB
02. What Is A POI-wDQhif-MWuY.ar.vtt	5.4 KB
04. Downloading Enron Data-TgkBAtaTqJk.zh-CN.vtt	5.9 KB
03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.zh-CN.vtt	5.9 KB
04. Downloading Enron Data-TgkBAtaTqJk.en.vtt	6.4 KB
index.html	6.5 KB
04. Downloading Enron Data-TgkBAtaTqJk.pt-BR.vtt	6.6 KB
03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.pt-BR.vtt	6.8 KB
03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.en.vtt	6.9 KB
02. What Is A POI.html	8.6 KB
23. Enron Chairman.html	8.7 KB
22. Enron CEO.html	8.7 KB
01. Introduction.html	8.7 KB
24. Enron CFO.html	8.7 KB
14. Features in the Enron Dataset.html	8.8 KB
03. Accuracy vs. Training Set Size.html	8.8 KB
11. Enron Dataset Mini-Project Video.html	8.8 KB
26. Unfilled Features.html	8.8 KB
30. Missing POIs 2 (optional).html	8.8 KB
28. Dict-to-array conversion.html	8.8 KB
19. Query the Dataset 2.html	8.9 KB
04. Downloading Enron Data.html	9.0 KB
20. Query the Dataset 3.html	9.0 KB
17. Problems with Incomplete Data.html	9.0 KB
31. Missing POIs 3 (optional).html	9.0 KB
12. Datasets and Questions Mini-Project.html	9.0 KB
34. Missing POIs 6 (optional).html	9.0 KB
16. How Many POIs Exist.html	9.0 KB
27. Dealing with Unfilled Features.html	9.1 KB
33. Missing POIs 5 (optional).html	9.1 KB
15. Finding POIs in the Enron Data.html	9.1 KB
18. Query the Dataset 1.html	9.2 KB
13. Size of the Enron Dataset.html	9.2 KB
04. Downloading Enron Data-TgkBAtaTqJk.ar.vtt	9.2 KB
32. Missing POIs 4 (optional).html	9.3 KB
03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.ar.vtt	9.5 KB
25. Follow the Money.html	9.5 KB
29. Missing POIs 1 (optional).html	9.5 KB
35. Mixing Data Sources (optional).html	9.9 KB
09. Types of Data Quiz 5.html	10.7 KB
07. Types of Data Quiz 3.html	10.8 KB
06. Types of Data Quiz 2.html	10.8 KB
08. Types of Data Quiz 4.html	10.8 KB
10. Types of Data Quiz 6.html	10.8 KB
21. Research the Enron Fraud.html	10.9 KB
05. Types of Data Quiz 1.html	11.8 KB
01. Introduction-TdopVWltgqM.zh-CN.vtt	13.1 KB
01. Introduction-TdopVWltgqM.pt-BR.vtt	15.2 KB
01. Introduction-TdopVWltgqM.en.vtt	15.2 KB
01. Introduction-TdopVWltgqM.ja.vtt	15.4 KB
01. Introduction-TdopVWltgqM.ar.vtt	20.7 KB
/Part 16-Module 01-Lesson 15_Evaluation Metrics/
21. False Negatives in Eigenfaces-dyShKWpTo-c.pt-BR.vtt	0.1 KB
21. False Negatives in Eigenfaces-dyShKWpTo-c.en.vtt	0.1 KB
12. How Many Schroeders-T2dveKB64Ho.zh-CN.vtt	0.1 KB
12. How Many Schroeders-jO81hfubpXY.en.vtt	0.1 KB
12. How Many Schroeders-jO81hfubpXY.zh-CN.vtt	0.2 KB
12. How Many Schroeders-jO81hfubpXY.pt-BR.vtt	0.2 KB
11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.zh-CN.vtt	0.2 KB
06. Confusion Matrix Practice 1-Nn_8kCRYn2k.zh-CN.vtt	0.2 KB
20. False Positives in Eigenfaces-0bEbJ33dUis.en.vtt	0.2 KB
12. How Many Schroeders-T2dveKB64Ho.pt-BR.vtt	0.2 KB
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20. False Positives in Eigenfaces-0bEbJ33dUis.pt-BR.vtt	0.2 KB
11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.en.vtt	0.2 KB
06. Confusion Matrix Practice 1-Nn_8kCRYn2k.pt-BR.vtt	0.2 KB
12. How Many Schroeders-T2dveKB64Ho.en.vtt	0.2 KB
22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.zh-CN.vtt	0.2 KB
06. Confusion Matrix Practice 1-Nn_8kCRYn2k.en.vtt	0.2 KB
22. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.en.vtt	0.2 KB
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11. Confusion Matrix for Eigenfaces-jkjr_prWyt8.ar.vtt	0.2 KB
18. Bush Precision and Recall-8fM13xqU2a8.pt-BR.vtt	0.2 KB
18. Bush Precision and Recall-8fM13xqU2a8.zh-CN.vtt	0.2 KB
18. Bush Precision and Recall-8fM13xqU2a8.en.vtt	0.2 KB
20. False Positives in Eigenfaces-0bEbJ33dUis.ar.vtt	0.2 KB
06. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt	0.2 KB
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19. True Positives in Eigenfaces-TWGqylKdGWs.zh-CN.vtt	0.2 KB
12. How Many Schroeders-T2dveKB64Ho.ar.vtt	0.2 KB
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19. True Positives in Eigenfaces-TWGqylKdGWs.en.vtt	0.3 KB
06. Confusion Matrix Practice 1-obhHCeHpysw.zh-CN.vtt	0.3 KB
19. True Positives in Eigenfaces-TWGqylKdGWs.pt-BR.vtt	0.3 KB
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13. How Many Schroeder Predictions-r8stm2et_hI.pt-BR.vtt	0.3 KB
05. Confusion Matrices-bEAaNv-CBQ4.zh-CN.vtt	0.3 KB
24. Equation for Recall-2cUiqlbt-hc.zh-CN.vtt	0.3 KB
22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.zh-CN.vtt	0.3 KB
06. Confusion Matrix Practice 1-obhHCeHpysw.en.vtt	0.3 KB
20. False Positives in Eigenfaces-CMIM_Ocu8vg.zh-CN.vtt	0.3 KB
05. Confusion Matrices-bEAaNv-CBQ4.en.vtt	0.3 KB
24. Equation for Recall-2cUiqlbt-hc.pt-BR.vtt	0.3 KB
24. Equation for Recall-2cUiqlbt-hc.en.vtt	0.3 KB
06. Confusion Matrix Practice 1-obhHCeHpysw.pt-BR.vtt	0.3 KB
05. Confusion Matrices-bEAaNv-CBQ4.pt-BR.vtt	0.3 KB
07. Confusion Matrix Practice 2-XN1eS7boCNg.en.vtt	0.3 KB
13. How Many Schroeder Predictions-r8stm2et_hI.ar.vtt	0.3 KB
19. True Positives in Eigenfaces-TWGqylKdGWs.ar.vtt	0.3 KB
17. Powell Precision and Recall-QWWq77k-K_0.zh-CN.vtt	0.3 KB
07. Confusion Matrix Practice 2-XN1eS7boCNg.zh-CN.vtt	0.3 KB
22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.en.vtt	0.3 KB
22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.pt-BR.vtt	0.3 KB
07. Confusion Matrix Practice 2-XN1eS7boCNg.pt-BR.vtt	0.3 KB
17. Powell Precision and Recall-QWWq77k-K_0.en.vtt	0.3 KB
20. False Positives in Eigenfaces-CMIM_Ocu8vg.en.vtt	0.4 KB
05. Confusion Matrices-bEAaNv-CBQ4.ar.vtt	0.4 KB
15. Classifying Chavez Correctly 2-HWW9BNHnPo0.zh-CN.vtt	0.4 KB
20. False Positives in Eigenfaces-CMIM_Ocu8vg.pt-BR.vtt	0.4 KB
07. Confusion Matrix Practice 2-HAQ0-Skvzmc.zh-CN.vtt	0.4 KB
17. Powell Precision and Recall-QWWq77k-K_0.pt-BR.vtt	0.4 KB
08. Filling in a Confusion Matrix-FwaYsmnlLM4.zh-CN.vtt	0.4 KB
15. Classifying Chavez Correctly 2-HWW9BNHnPo0.en.vtt	0.4 KB
06. Confusion Matrix Practice 1-obhHCeHpysw.ar.vtt	0.4 KB
07. Confusion Matrix Practice 2-HAQ0-Skvzmc.en.vtt	0.4 KB
15. Classifying Chavez Correctly 2-hqO8kxRJdd4.zh-CN.vtt	0.4 KB
07. Confusion Matrix Practice 2-XN1eS7boCNg.ar.vtt	0.4 KB
07. Confusion Matrix Practice 2-HAQ0-Skvzmc.pt-BR.vtt	0.4 KB
15. Classifying Chavez Correctly 2-HWW9BNHnPo0.pt-BR.vtt	0.4 KB
24. Equation for Recall-2cUiqlbt-hc.ar.vtt	0.4 KB
17. Powell Precision and Recall-QWWq77k-K_0.ar.vtt	0.4 KB
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21. False Negatives in Eigenfaces-bxDutNyYKjE.zh-CN.vtt	0.4 KB
08. Filling in a Confusion Matrix-FwaYsmnlLM4.en.vtt	0.4 KB
14. Classifying Chavez Correctly 1-0PFq8zoaNWU.zh-CN.vtt	0.5 KB
20. False Positives in Eigenfaces-CMIM_Ocu8vg.ar.vtt	0.5 KB
22. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.ar.vtt	0.5 KB
14. Classifying Chavez Correctly 1-Jbqf8OBORDg.zh-CN.vtt	0.5 KB
15. Classifying Chavez Correctly 2-hqO8kxRJdd4.en.vtt	0.5 KB
21. False Negatives in Eigenfaces-bxDutNyYKjE.en.vtt	0.5 KB
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15. Classifying Chavez Correctly 2-hqO8kxRJdd4.pt-BR.vtt	0.5 KB
14. Classifying Chavez Correctly 1-Jbqf8OBORDg.pt-BR.vtt	0.5 KB
13. How Many Schroeder Predictions-n7gp8USw0Jw.zh-CN.vtt	0.5 KB
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23. Equation for Precision-CStZqZRe6Mk.zh-CN.vtt	0.5 KB
09. Confusion Matrix False Alarms-611qWzIxGmU.zh-CN.vtt	0.5 KB
14. Classifying Chavez Correctly 1-Jbqf8OBORDg.en.vtt	0.5 KB
21. False Negatives in Eigenfaces-bxDutNyYKjE.pt-BR.vtt	0.5 KB
08. Filling in a Confusion Matrix-Lb_v4vj3TNs.pt-BR.vtt	0.5 KB
14. Classifying Chavez Correctly 1-0PFq8zoaNWU.pt-BR.vtt	0.5 KB
09. Confusion Matrix False Alarms-611qWzIxGmU.en.vtt	0.5 KB
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14. Classifying Chavez Correctly 1-0PFq8zoaNWU.en.vtt	0.5 KB
02. Accuracy Review-g3sxDtlGlAM.zh-CN.vtt	0.5 KB
24. Equation for Recall-j2SP83afRS0.zh-CN.vtt	0.6 KB
13. How Many Schroeder Predictions-n7gp8USw0Jw.pt-BR.vtt	0.6 KB
09. Confusion Matrix False Alarms-611qWzIxGmU.pt-BR.vtt	0.6 KB
13. How Many Schroeder Predictions-n7gp8USw0Jw.en.vtt	0.6 KB
08. Filling in a Confusion Matrix-FwaYsmnlLM4.ar.vtt	0.6 KB
23. Equation for Precision-CStZqZRe6Mk.en.vtt	0.6 KB
23. Equation for Precision-CStZqZRe6Mk.en-US.vtt	0.6 KB
23. Equation for Precision-CStZqZRe6Mk.pt-BR.vtt	0.6 KB
02. Accuracy Review-g3sxDtlGlAM.en.vtt	0.6 KB
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24. Equation for Recall-j2SP83afRS0.en.vtt	0.7 KB
21. False Negatives in Eigenfaces-bxDutNyYKjE.ar.vtt	0.7 KB
14. Classifying Chavez Correctly 1-0PFq8zoaNWU.ar.vtt	0.7 KB
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08. Filling in a Confusion Matrix-Lb_v4vj3TNs.ar.vtt	0.7 KB
09. Confusion Matrix False Alarms-611qWzIxGmU.ar.vtt	0.7 KB
24. Equation for Recall-j2SP83afRS0.pt-BR.vtt	0.7 KB
17. Powell Precision and Recall-q_zfkCwRg1w.zh-CN.vtt	0.7 KB
10. Decision Tree Confusion Matrix-cUlEryXX9BM.zh-CN.vtt	0.7 KB
14. Classifying Chavez Correctly 1-Jbqf8OBORDg.ar.vtt	0.7 KB
17. Powell Precision and Recall-q_zfkCwRg1w.en.vtt	0.7 KB
13. How Many Schroeder Predictions-n7gp8USw0Jw.ar.vtt	0.7 KB
17. Powell Precision and Recall-q_zfkCwRg1w.pt-BR.vtt	0.7 KB
10. Decision Tree Confusion Matrix-cUlEryXX9BM.en.vtt	0.8 KB
19. True Positives in Eigenfaces-bgT8sWuV2lc.zh-CN.vtt	0.8 KB
23. Equation for Precision-CStZqZRe6Mk.ar.vtt	0.8 KB
26. Evaluation Mini-Project Video-s13K9G1VaWM.zh-CN.vtt	0.8 KB
24. Equation for Recall-j2SP83afRS0.ar.vtt	0.9 KB
10. Decision Tree Confusion Matrix-cUlEryXX9BM.pt-BR.vtt	0.9 KB
19. True Positives in Eigenfaces-bgT8sWuV2lc.pt-BR.vtt	0.9 KB
02. Accuracy Review-g3sxDtlGlAM.ar.vtt	0.9 KB
23. Equation for Precision-8QEAYYIyopY.zh-CN.vtt	0.9 KB
25. Welcome to the End of Evaluation Lesson-sgFfl-j_oCs.zh-CN.vtt	0.9 KB
19. True Positives in Eigenfaces-bgT8sWuV2lc.en.vtt	0.9 KB
17. Powell Precision and Recall-q_zfkCwRg1w.ar.vtt	0.9 KB
23. Equation for Precision-8QEAYYIyopY.pt-BR.vtt	0.9 KB
26. Evaluation Mini-Project Video-s13K9G1VaWM.pt-BR.vtt	1.0 KB
10. Decision Tree Confusion Matrix-QBaNltqVj_0.zh-CN.vtt	1.0 KB
16. Precision and Recall-3vT0kSBCLdU.zh-CN.vtt	1.0 KB
23. Equation for Precision-8QEAYYIyopY.en.vtt	1.0 KB
26. Evaluation Mini-Project Video-s13K9G1VaWM.en.vtt	1.0 KB
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10. Decision Tree Confusion Matrix-QBaNltqVj_0.pt-BR.vtt	1.0 KB
09. Confusion Matrix False Alarms-Uf_KdjVT2Xg.zh-CN.vtt	1.1 KB
25. Welcome to the End of Evaluation Lesson-sgFfl-j_oCs.pt-BR.vtt	1.1 KB
25. Welcome to the End of Evaluation Lesson-sgFfl-j_oCs.en.vtt	1.1 KB
10. Decision Tree Confusion Matrix-QBaNltqVj_0.en.vtt	1.1 KB
01. Welcome to Evaluation Metrics Lesson-IHuFWRM9f9Q.zh-CN.vtt	1.1 KB
16. Precision and Recall-3vT0kSBCLdU.en.vtt	1.1 KB
16. Precision and Recall-3vT0kSBCLdU.pt-BR.vtt	1.2 KB
19. True Positives in Eigenfaces-bgT8sWuV2lc.ar.vtt	1.2 KB
18. Bush Precision and Recall-FLpXmoHp7eE.pt-BR.vtt	1.2 KB
18. Bush Precision and Recall-FLpXmoHp7eE.en.vtt	1.2 KB
09. Confusion Matrix False Alarms-Uf_KdjVT2Xg.en.vtt	1.2 KB
18. Bush Precision and Recall-FLpXmoHp7eE.zh-CN.vtt	1.3 KB
23. Equation for Precision-8QEAYYIyopY.ar.vtt	1.3 KB
26. Evaluation Mini-Project Video-s13K9G1VaWM.ar.vtt	1.3 KB
25. Welcome to the End of Evaluation Lesson-sgFfl-j_oCs.ar.vtt	1.3 KB
09. Confusion Matrix False Alarms-Uf_KdjVT2Xg.pt-BR.vtt	1.3 KB
01. Welcome to Evaluation Metrics Lesson-IHuFWRM9f9Q.en.vtt	1.4 KB
01. Welcome to Evaluation Metrics Lesson-IHuFWRM9f9Q.pt-BR.vtt	1.4 KB
16. Precision and Recall-3vT0kSBCLdU.ar.vtt	1.4 KB
05. Confusion Matrices-bgyN3RO2ICo.zh-CN.vtt	1.4 KB
04. Picking the Most Suitable Metric-GAfPvj2SSiE.zh-CN.vtt	1.5 KB
03. Shortcomings of Accuracy-UMWsyRYnfPk.zh-CN.vtt	1.5 KB
05. Confusion Matrices-bgyN3RO2ICo.en.vtt	1.5 KB
05. Confusion Matrices-bgyN3RO2ICo.pt-BR.vtt	1.5 KB
10. Decision Tree Confusion Matrix-QBaNltqVj_0.ar.vtt	1.6 KB
18. Bush Precision and Recall-FLpXmoHp7eE.ar.vtt	1.6 KB
04. Picking the Most Suitable Metric-GAfPvj2SSiE.en.vtt	1.7 KB
04. Picking the Most Suitable Metric-GAfPvj2SSiE.pt-BR.vtt	1.8 KB
03. Shortcomings of Accuracy-UMWsyRYnfPk.pt-BR.vtt	1.8 KB
09. Confusion Matrix False Alarms-Uf_KdjVT2Xg.ar.vtt	1.8 KB
03. Shortcomings of Accuracy-UMWsyRYnfPk.en.vtt	1.9 KB
01. Welcome to Evaluation Metrics Lesson-IHuFWRM9f9Q.ar.vtt	1.9 KB
05. Confusion Matrices-bgyN3RO2ICo.ar.vtt	1.9 KB
11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.zh-CN.vtt	2.1 KB
03. Shortcomings of Accuracy-UMWsyRYnfPk.ar.vtt	2.3 KB
04. Picking the Most Suitable Metric-GAfPvj2SSiE.ar.vtt	2.3 KB
11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.en.vtt	2.3 KB
11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.pt-BR.vtt	2.5 KB
03. Shortcomings of Accuracy-9JfaMZcSlQA.zh-CN.vtt	3.3 KB
11. Confusion Matrix for Eigenfaces--VxKwVvrNY0.ar.vtt	3.3 KB
03. Shortcomings of Accuracy-9JfaMZcSlQA.en.vtt	4.0 KB
03. Shortcomings of Accuracy-9JfaMZcSlQA.pt-BR.vtt	4.2 KB
03. Shortcomings of Accuracy-9JfaMZcSlQA.ar.vtt	5.1 KB
index.html	7.6 KB
44. Metrics for Your POI Identifier.html	9.8 KB
29. Number of People in Test Set.html	10.1 KB
26. Evaluation Mini-Project Video.html	10.1 KB
04. Picking the Most Suitable Metric.html	10.1 KB
30. Accuracy of a Biased Identifier.html	10.1 KB
01. Welcome to Evaluation Metrics Lesson.html	10.1 KB
39. Recall.html	10.2 KB
25. Welcome to the End of Evaluation Lesson.html	10.2 KB
38. Precision.html	10.2 KB
36. False Positives.html	10.2 KB
28. Number of POIs in Test Set.html	10.2 KB
37. False Negatives.html	10.2 KB
35. How Many True Negatives.html	10.3 KB
02. Accuracy Review.html	10.4 KB
40. Making Sense of Metrics 1.html	10.4 KB
16. Precision and Recall.html	10.6 KB
32. Unpacking Into Precision and Recall.html	10.6 KB
31. Number of True Positives.html	10.6 KB
27. Applying Metrics to Your POI Identifier.html	10.7 KB
33. Recall of Your POI Identifier.html	10.7 KB
34. How Many True Positives.html	10.8 KB
12. How Many Schroeders.html	11.2 KB
41. Making Sense of Metrics 2.html	11.3 KB
21. False Negatives in Eigenfaces.html	11.3 KB
43. Making Sense of Metrics 4.html	11.4 KB
42. Making Sense of Metrics 3.html	11.4 KB
19. True Positives in Eigenfaces.html	11.4 KB
20. False Positives in Eigenfaces.html	11.5 KB
13. How Many Schroeder Predictions.html	11.5 KB
14. Classifying Chavez Correctly 1.html	11.5 KB
15. Classifying Chavez Correctly 2.html	11.6 KB
05. Confusion Matrices.html	11.9 KB
24. Equation for Recall.html	11.9 KB
18. Bush Precision and Recall.html	12.0 KB
07. Confusion Matrix Practice 2.html	12.0 KB
06. Confusion Matrix Practice 1.html	12.0 KB
09. Confusion Matrix False Alarms.html	12.0 KB
23. Equation for Precision.html	12.1 KB
22. Practicing TP, FP, FN with Rumsfeld.html	12.1 KB
17. Powell Precision and Recall.html	12.2 KB
08. Filling in a Confusion Matrix.html	12.3 KB
10. Decision Tree Confusion Matrix.html	12.3 KB
03. Shortcomings of Accuracy.html	12.3 KB
11. Confusion Matrix for Eigenfaces.html	12.7 KB
/Part 04-Module 01-Lesson 16_Logistic Regression/
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16. How Many Schroeders-jO81hfubpXY.en.vtt	0.1 KB
16. How Many Schroeders-jO81hfubpXY.zh-CN.vtt	0.2 KB
16. How Many Schroeders-jO81hfubpXY.pt-BR.vtt	0.2 KB
15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.zh-CN.vtt	0.2 KB
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16. How Many Schroeders-T2dveKB64Ho.pt-BR.vtt	0.2 KB
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16. How Many Schroeders-T2dveKB64Ho.en.vtt	0.2 KB
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15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.ar.vtt	0.2 KB
22. Bush Precision and Recall-8fM13xqU2a8.pt-BR.vtt	0.2 KB
22. Bush Precision and Recall-8fM13xqU2a8.zh-CN.vtt	0.2 KB
22. Bush Precision and Recall-8fM13xqU2a8.en.vtt	0.2 KB
11. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt	0.2 KB
24. False Positives in Eigenfaces-0bEbJ33dUis.ar.vtt	0.2 KB
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20. Precision and Recall-3vT0kSBCLdU.en.vtt	1.1 KB
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20. Precision and Recall-3vT0kSBCLdU.pt-BR.vtt	1.2 KB
23. True Positives in Eigenfaces-bgT8sWuV2lc.ar.vtt	1.2 KB
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31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.en.vtt	1.4 KB
09. Model Diagnostics-XsYFAtzF6e4.pt-BR.vtt	1.4 KB
20. Precision and Recall-3vT0kSBCLdU.ar.vtt	1.4 KB
10. Confusion Matrices-bgyN3RO2ICo.zh-CN.vtt	1.4 KB
01. Introduction to Logistic Regression-P_f2RjjnPEg.zh-CN.vtt	1.5 KB
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22. Bush Precision and Recall-FLpXmoHp7eE.ar.vtt	1.6 KB
01. Introduction to Logistic Regression-P_f2RjjnPEg.en.vtt	1.7 KB
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10. Confusion Matrices-bgyN3RO2ICo.ar.vtt	1.9 KB
01. Introduction to Logistic Regression-P_f2RjjnPEg.pt-BR.vtt	2.0 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.zh-CN.vtt	2.1 KB
06. Interpreting Results-UPOxxbKu6CQ.en.vtt	2.1 KB
02. Fitting Logistic Regression-Dg0rBDQnIYg.zh-CN.vtt	2.2 KB
07. Interpreting Results in Python-IY88UTiJltQ.zh-CN.vtt	2.3 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.en.vtt	2.3 KB
06. Interpreting Results-UPOxxbKu6CQ.pt-BR.vtt	2.3 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.pt-BR.vtt	2.5 KB
02. Fitting Logistic Regression-Dg0rBDQnIYg.en.vtt	2.7 KB
07. Interpreting Results in Python-IY88UTiJltQ.en.vtt	2.7 KB
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04. Fitting Logistic Regression In Python-baQf-XiZQQ4.zh-CN.vtt	2.8 KB
02. Fitting Logistic Regression-Dg0rBDQnIYg.pt-BR.vtt	2.9 KB
04. Fitting Logistic Regression In Python-baQf-XiZQQ4.pt-BR.vtt	3.1 KB
04. Fitting Logistic Regression In Python-baQf-XiZQQ4.en.vtt	3.1 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.ar.vtt	3.3 KB
29. Model Diagnostics In Python-1Z4eorbfOOc.zh-CN.vtt	5.9 KB
29. Model Diagnostics In Python-1Z4eorbfOOc.pt-BR.vtt	6.4 KB
index.html	6.9 KB
29. Model Diagnostics In Python-1Z4eorbfOOc.en.vtt	6.9 KB
33. Video Congratulations.html	8.9 KB
06. Video Interpreting Results - Part I.html	9.0 KB
02. Video Fitting Logistic Regression.html	9.0 KB
01. Video Introduction.html	9.0 KB
07. Video (ScreenCast) Interpret Results - Part II.html	9.0 KB
04. Video Fitting Logistic Regression in Python.html	9.1 KB
31. Video Final Thoughts On Shifting to Machine Learning.html	9.1 KB
09. Video Model Diagnostics + Performance Metrics.html	9.5 KB
20. Precision and Recall.html	9.6 KB
32. Text Recap.html	10.2 KB
16. How Many Schroeders.html	10.2 KB
25. False Negatives in Eigenfaces.html	10.3 KB
23. True Positives in Eigenfaces.html	10.5 KB
24. False Positives in Eigenfaces.html	10.5 KB
17. How Many Schroeder Predictions.html	10.5 KB
18. Classifying Chavez Correctly 1.html	10.5 KB
19. Classifying Chavez Correctly 2.html	10.6 KB
10. Confusion Matrices.html	10.9 KB
28. Equation for Recall.html	10.9 KB
22. Bush Precision and Recall.html	11.0 KB
12. Confusion Matrix Practice 2.html	11.0 KB
11. Confusion Matrix Practice 1.html	11.0 KB
14. Confusion Matrix False Alarms.html	11.1 KB
03. Quiz Logistic Regression Quick Check.html	11.1 KB
27. Equation for Precision.html	11.1 KB
26. Practicing TP, FP, FN with Rumsfeld.html	11.1 KB
29. Screencast Model Diagnostics in Python - Part I.html	11.2 KB
21. Powell Precision and Recall.html	11.3 KB
13. Filling in a Confusion Matrix.html	11.3 KB
15. Confusion Matrix for Eigenfaces.html	11.7 KB
30. Notebook + Quiz Model Diagnostics.html	14.4 KB
05. Notebook + Quiz Fitting Logistic Regression in Python.html	14.9 KB
08. Notebook + Quiz Interpret Results.html	15.7 KB
/Part 04-Module 01-Lesson 04_Probability/
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13. One Head 1-lHuZpDkfwq8.pt-BR.vtt	0.6 KB
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03. Fair Coin-9LrlrexpW_o.zh-CN.vtt	0.8 KB
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13. One Head 1-T4A5uyqesjo.ar.vtt	0.8 KB
17. Even Roll-DrnAR4SqlEE.es-ES.vtt	0.9 KB
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05. Loaded Coin 2-dGffszQYzqc.en.vtt	0.9 KB
03. Fair Coin-9LrlrexpW_o.en.vtt	0.9 KB
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09. Two Flips 2-uhrL5fatt3E.it.vtt	0.9 KB
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01. Introduction to Probability-HeoQccoqfTk.zh-CN.vtt	0.9 KB
16. One Of Three 2-27Ed1GI4j84.ja.vtt	0.9 KB
16. One Of Three 2-gGgqTGZ9TKg.ja.vtt	1.0 KB
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14. One Head 2-64EjAbqrtmo.th.vtt	1.0 KB
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17. Even Roll-DrnAR4SqlEE.ar.vtt	1.1 KB
05. Loaded Coin 2-dGffszQYzqc.ar.vtt	1.1 KB
01. Introduction to Probability-HeoQccoqfTk.en.vtt	1.1 KB
13. One Head 1-T4A5uyqesjo.th.vtt	1.1 KB
03. Fair Coin-9LrlrexpW_o.ar.vtt	1.1 KB
15. One Of Three 1-bDCXSxkochE.hr.vtt	1.2 KB
15. One Of Three 1-bDCXSxkochE.ja.vtt	1.2 KB
15. One Of Three 1-bDCXSxkochE.en.vtt	1.2 KB
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07. Complementary Outcomes-YseJqD-1oUg.th.vtt	1.2 KB
16. One Of Three 2-gGgqTGZ9TKg.ar.vtt	1.2 KB
01. Introduction to Probability-HeoQccoqfTk.pt-BR.vtt	1.3 KB
16. One Of Three 2-27Ed1GI4j84.ar.vtt	1.3 KB
19. Probability Conclusion-dsVKoXymYDU.zh-CN.vtt	1.3 KB
18. Doubles-fkUyTJNbdzU.zh-CN.vtt	1.3 KB
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19. Probability Conclusion-dsVKoXymYDU.en.vtt	1.5 KB
18. Doubles-fkUyTJNbdzU.pt-BR.vtt	1.6 KB
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19. Probability Conclusion-dsVKoXymYDU.ar.vtt	2.0 KB
16. One Of Three 2-gGgqTGZ9TKg.th.vtt	2.0 KB
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index.html	4.8 KB
19. Probability Conclusion.html	6.7 KB
01. Introduction to Probability.html	6.7 KB
07. Complementary Outcomes.html	7.3 KB
20. Text Recap + Next Steps.html	8.1 KB
09. Two Flips 2.html	8.9 KB
11. Two Flips 4.html	8.9 KB
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12. Two Flips 5.html	9.0 KB
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/Part 16-Module 01-Lesson 03_SVM/
03. Choosing Between Separating Lines-ppSLADGROp8.en.vtt	0.2 KB
02. Separating Line-NTm_mA4akP4.ja.vtt	0.2 KB
03. Choosing Between Separating Lines-ppSLADGROp8.pt-BR.vtt	0.2 KB
03. Choosing Between Separating Lines-ppSLADGROp8.zh-CN.vtt	0.2 KB
15. A New Feature-8TqVHRan4Fo.pt-BR.vtt	0.2 KB
03. Choosing Between Separating Lines-ppSLADGROp8.ja.vtt	0.2 KB
02. Separating Line-NTm_mA4akP4.pt-BR.vtt	0.2 KB
15. A New Feature-8TqVHRan4Fo.en.vtt	0.2 KB
15. A New Feature-8TqVHRan4Fo.zh-CN.vtt	0.2 KB
15. A New Feature-8TqVHRan4Fo.ja.vtt	0.2 KB
02. Separating Line-NTm_mA4akP4.zh-CN.vtt	0.2 KB
02. Separating Line-NTm_mA4akP4.en.vtt	0.2 KB
03. Choosing Between Separating Lines-ppSLADGROp8.ar.vtt	0.2 KB
17. Separating with the New Feature-9KAHkienFWk.zh-CN.vtt	0.2 KB
02. Separating Line-NTm_mA4akP4.ar.vtt	0.2 KB
17. Separating with the New Feature-9KAHkienFWk.en.vtt	0.3 KB
05. Practice with Margins-l3zXhTxQiTs.zh-CN.vtt	0.3 KB
17. Separating with the New Feature-9KAHkienFWk.pt-BR.vtt	0.3 KB
15. A New Feature-8TqVHRan4Fo.ar.vtt	0.3 KB
05. Practice with Margins-l3zXhTxQiTs.en.vtt	0.3 KB
17. Separating with the New Feature-9KAHkienFWk.ja.vtt	0.3 KB
09. Handoff to Katie-GkqOdgZnkig.zh-CN.vtt	0.3 KB
09. Handoff to Katie-GkqOdgZnkig.en.vtt	0.3 KB
05. Practice with Margins-l3zXhTxQiTs.ja.vtt	0.3 KB
05. Practice with Margins-l3zXhTxQiTs.pt-BR.vtt	0.3 KB
09. Handoff to Katie-GkqOdgZnkig.pt-BR.vtt	0.3 KB
17. Separating with the New Feature-9KAHkienFWk.ar.vtt	0.3 KB
09. Handoff to Katie-GkqOdgZnkig.ja.vtt	0.4 KB
05. Practice with Margins-l3zXhTxQiTs.ar.vtt	0.4 KB
06. SVMs and Tricky Data Distributions-wbCq7wm81BU.zh-CN.vtt	0.4 KB
06. SVMs and Tricky Data Distributions-wbCq7wm81BU.pt-BR.vtt	0.4 KB
09. Handoff to Katie-GkqOdgZnkig.ar.vtt	0.4 KB
06. SVMs and Tricky Data Distributions-wbCq7wm81BU.en.vtt	0.4 KB
06. SVMs and Tricky Data Distributions-wbCq7wm81BU.ja.vtt	0.5 KB
14. Nonlinear Data-PxE2bbG2Hkw.en.vtt	0.5 KB
14. Nonlinear Data-PxE2bbG2Hkw.zh-CN.vtt	0.5 KB
14. Nonlinear Data-PxE2bbG2Hkw.pt-BR.vtt	0.5 KB
14. Nonlinear Data-PxE2bbG2Hkw.ja.vtt	0.5 KB
06. SVMs and Tricky Data Distributions-wbCq7wm81BU.ar.vtt	0.5 KB
08. SVM Outlier Practice-WxAO6ByCvew.zh-CN.vtt	0.5 KB
03. Choosing Between Separating Lines-swoZxkrxIB0.en.vtt	0.5 KB
03. Choosing Between Separating Lines-swoZxkrxIB0.zh-CN.vtt	0.6 KB
14. Nonlinear Data-PxE2bbG2Hkw.ar.vtt	0.6 KB
03. Choosing Between Separating Lines-swoZxkrxIB0.pt-BR.vtt	0.6 KB
08. SVM Outlier Practice-WxAO6ByCvew.pt-BR.vtt	0.6 KB
08. SVM Outlier Practice-WxAO6ByCvew.en.vtt	0.6 KB
08. SVM Outlier Practice-WxAO6ByCvew.ja.vtt	0.6 KB
03. Choosing Between Separating Lines-swoZxkrxIB0.ja.vtt	0.6 KB
01. Welcome to SVM-gnAmmyQ_ZcQ.zh-CN.vtt	0.6 KB
21. Kernel and Gamma-znlTyocTgSc.zh-CN.vtt	0.7 KB
07. SVM Response to Outliers-TEAGqUkQVdM.zh-CN.vtt	0.7 KB
17. Separating with the New Feature--_jNi_5zEEQ.zh-CN.vtt	0.7 KB
21. Kernel and Gamma-znlTyocTgSc.en.vtt	0.8 KB
01. Welcome to SVM-gnAmmyQ_ZcQ.en.vtt	0.8 KB
21. Kernel and Gamma-znlTyocTgSc.pt-BR.vtt	0.8 KB
08. SVM Outlier Practice-osn2fVnCVgQ.zh-CN.vtt	0.8 KB
03. Choosing Between Separating Lines-swoZxkrxIB0.ar.vtt	0.8 KB
14. Nonlinear Data-EllzeBecnkU.zh-CN.vtt	0.8 KB
01. Welcome to SVM-gnAmmyQ_ZcQ.pt-BR.vtt	0.8 KB
17. Separating with the New Feature--_jNi_5zEEQ.ja.vtt	0.8 KB
17. Separating with the New Feature--_jNi_5zEEQ.en.vtt	0.8 KB
08. SVM Outlier Practice-WxAO6ByCvew.ar.vtt	0.8 KB
26. SVM Mini-Project Video-mENzEtsiOmI.zh-CN.vtt	0.8 KB
04. What Makes A Good Separating Line-yH2wQQt-Rjo.zh-CN.vtt	0.8 KB
21. Kernel and Gamma-znlTyocTgSc.ja.vtt	0.8 KB
14. Nonlinear Data-EllzeBecnkU.en.vtt	0.8 KB
07. SVM Response to Outliers-TEAGqUkQVdM.en.vtt	0.8 KB
17. Separating with the New Feature--_jNi_5zEEQ.pt-BR.vtt	0.9 KB
24. Overfitting-plx_F2BkwNQ.zh-CN.vtt	0.9 KB
07. SVM Response to Outliers-TEAGqUkQVdM.pt-BR.vtt	0.9 KB
08. SVM Outlier Practice-osn2fVnCVgQ.pt-BR.vtt	0.9 KB
08. SVM Outlier Practice-osn2fVnCVgQ.en.vtt	0.9 KB
22. SVM C Parameter-WVg5-vxQDm8.zh-CN.vtt	0.9 KB
14. Nonlinear Data-EllzeBecnkU.pt-BR.vtt	0.9 KB
01. Welcome to SVM-gnAmmyQ_ZcQ.ja.vtt	0.9 KB
07. SVM Response to Outliers-TEAGqUkQVdM.ja.vtt	0.9 KB
26. SVM Mini-Project Video-mENzEtsiOmI.pt-BR.vtt	0.9 KB
07. SVM Response to Outliers-w-czJptEyBk.zh-CN.vtt	0.9 KB
26. SVM Mini-Project Video-mENzEtsiOmI.ja.vtt	0.9 KB
04. What Makes A Good Separating Line-yH2wQQt-Rjo.en.vtt	0.9 KB
18. Practice Making a New Feature-ygveMIhCtDg.zh-CN.vtt	1.0 KB
04. What Makes A Good Separating Line-yH2wQQt-Rjo.pt-BR.vtt	1.0 KB
26. SVM Mini-Project Video-mENzEtsiOmI.en.vtt	1.0 KB
21. Kernel and Gamma-znlTyocTgSc.ar.vtt	1.0 KB
04. What Makes A Good Separating Line-yH2wQQt-Rjo.es-MX.vtt	1.0 KB
07. SVM Response to Outliers-w-czJptEyBk.en.vtt	1.0 KB
18. Practice Making a New Feature-ygveMIhCtDg.pt-BR.vtt	1.0 KB
08. SVM Outlier Practice-osn2fVnCVgQ.ja.vtt	1.0 KB
01. Welcome to SVM-gnAmmyQ_ZcQ.ar.vtt	1.0 KB
04. What Makes A Good Separating Line-yH2wQQt-Rjo.ja.vtt	1.0 KB
14. Nonlinear Data-EllzeBecnkU.ja.vtt	1.0 KB
20. Playing Around with Kernel Choices-sy_jiSEy-Nw.zh-CN.vtt	1.0 KB
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15. A New Feature-8xFV-I4VqZ0.zh-CN.vtt	2.0 KB
21. Kernel and Gamma-pH51jLfGXe0.en.vtt	2.0 KB
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21. Kernel and Gamma-pH51jLfGXe0.pt-BR.vtt	2.0 KB
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12. Coding Up the SVM-CvTXyvw7QLc.en.vtt	2.1 KB
21. Kernel and Gamma-pH51jLfGXe0.ja.vtt	2.1 KB
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24. Overfitting-CxAxRCv9WoA.ar.vtt	2.2 KB
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12. Coding Up the SVM-CvTXyvw7QLc.ja.vtt	2.3 KB
19. Kernel Trick-3Xw6FKYP7e4.en.vtt	2.3 KB
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19. Kernel Trick-3Xw6FKYP7e4.pt-BR.vtt	2.4 KB
25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.ja.vtt	2.4 KB
15. A New Feature-8xFV-I4VqZ0.ar.vtt	2.4 KB
10. SVM in SKlearn-R7xQtQzkvTk.zh-CN.vtt	2.5 KB
23. SVM Gamma Parameter-m2a2K4lprQw.zh-CN.vtt	2.6 KB
21. Kernel and Gamma-pH51jLfGXe0.ar.vtt	2.6 KB
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10. SVM in SKlearn-R7xQtQzkvTk.pt-BR.vtt	2.8 KB
22. SVM C Parameter-joTa_FeMZ2s.zh-CN.vtt	2.8 KB
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25. SVM Strengths and Weaknesses-U9-ZsbaaGAs.ar.vtt	2.9 KB
10. SVM in SKlearn-R7xQtQzkvTk.ja.vtt	2.9 KB
19. Kernel Trick-3Xw6FKYP7e4.ar.vtt	3.0 KB
23. SVM Gamma Parameter-m2a2K4lprQw.en.vtt	3.2 KB
23. SVM Gamma Parameter-m2a2K4lprQw.pt-BR.vtt	3.2 KB
22. SVM C Parameter-joTa_FeMZ2s.en.vtt	3.4 KB
20. Playing Around with Kernel Choices-krV6r7HxmZU.zh-CN.vtt	3.5 KB
22. SVM C Parameter-joTa_FeMZ2s.pt-BR.vtt	3.5 KB
22. SVM C Parameter-joTa_FeMZ2s.ja.vtt	3.7 KB
10. SVM in SKlearn-R7xQtQzkvTk.ar.vtt	3.7 KB
20. Playing Around with Kernel Choices-krV6r7HxmZU.en.vtt	3.9 KB
20. Playing Around with Kernel Choices-krV6r7HxmZU.pt-BR.vtt	4.0 KB
20. Playing Around with Kernel Choices-krV6r7HxmZU.ja.vtt	4.0 KB
23. SVM Gamma Parameter-m2a2K4lprQw.ar.vtt	4.2 KB
22. SVM C Parameter-joTa_FeMZ2s.ar.vtt	4.5 KB
20. Playing Around with Kernel Choices-krV6r7HxmZU.ar.vtt	5.3 KB
index.html	6.7 KB
27. SVM Mini-Project.html	8.9 KB
23. SVM Gamma Parameter.html	9.0 KB
19. Kernel Trick.html	9.1 KB
13. Nonlinear SVMs.html	9.1 KB
10. SVM in SKlearn.html	9.1 KB
01. Welcome to SVM.html	9.1 KB
09. Handoff to Katie.html	9.1 KB
11. SVM Decision Boundary.html	9.1 KB
26. SVM Mini-Project Video.html	9.2 KB
37. How Many Chris Emails Predicted.html	9.2 KB
16. Visualizing the New Feature.html	9.2 KB
32. Deploy an RBF Kernel.html	9.2 KB
28. SVM Author ID Accuracy.html	9.4 KB
35. Optimized RBF vs. Linear SVM Accuracy.html	9.4 KB
38. Final Thoughts on Deploying SVMs.html	9.4 KB
25. SVM Strengths and Weaknesses.html	9.5 KB
29. SVM Author ID Timing.html	9.6 KB
30. A Smaller Training Set.html	9.7 KB
33. Optimize C Parameter.html	9.8 KB
34. Accuracy after Optimizing C.html	9.9 KB
31. Speed-Accuracy Tradeoff.html	10.1 KB
36. Extracting Predictions from an SVM.html	10.5 KB
14. Nonlinear Data.html	10.6 KB
02. Separating Line.html	10.9 KB
17. Separating with the New Feature.html	10.9 KB
06. SVMs and Tricky Data Distributions.html	10.9 KB
08. SVM Outlier Practice.html	10.9 KB
05. Practice with Margins.html	11.0 KB
22. SVM C Parameter.html	11.0 KB
07. SVM Response to Outliers.html	11.0 KB
18. Practice Making a New Feature.html	11.1 KB
03. Choosing Between Separating Lines.html	11.1 KB
15. A New Feature.html	11.2 KB
21. Kernel and Gamma.html	11.2 KB
24. Overfitting.html	11.3 KB
12. Coding Up the SVM.html	11.4 KB
04. What Makes A Good Separating Line.html	11.5 KB
20. Playing Around with Kernel Choices.html	11.9 KB
/Part 07-Module 01-Lesson 09_Diamonds & Price Predictions/
15. Price vs Carat and Cut-RF9V7l00a28.zh-CN.vtt	0.2 KB
14. Clarity and Price-UnkrtPPx9-c.zh-CN.vtt	0.2 KB
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18. Color and Price--9CHGW25yMg.pt-BR.vtt	0.2 KB
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08. The Demand of Diamonds-y8g6YeD7Gyk.zh-CN.vtt	0.4 KB
13. Price vs. Carat and Clarity-g88Q5qyiZxE.pt-BR.vtt	0.4 KB
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11. Overplotting Revisited-AvokBc1DoEU.pt-BR.vtt	0.4 KB
11. Overplotting Revisited-AvokBc1DoEU.ja.vtt	0.4 KB
08. The Demand of Diamonds-y8g6YeD7Gyk.pt-BR.vtt	0.4 KB
08. The Demand of Diamonds-y8g6YeD7Gyk.ja.vtt	0.4 KB
08. The Demand of Diamonds-y8g6YeD7Gyk.en.vtt	0.4 KB
13. Price vs. Carat and Clarity-J0Ls7F-lN4o.en.vtt	0.4 KB
13. Price vs. Carat and Clarity-J0Ls7F-lN4o.zh-CN.vtt	0.4 KB
16. Cut and Price--P5lMGuVA6U.ar.vtt	0.4 KB
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03. Scatterplot Review-e_8DmUBHAao.ja.vtt	0.5 KB
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15. Price vs Carat and Cut-vhDpWgdpSHg.ar.vtt	0.5 KB
19. Linear Models in R-aUc0FKD4834.ar.vtt	0.5 KB
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19. Linear Models in R-a2GCyz_N0oY.zh-CN.vtt	0.5 KB
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18. Color and Price-Ck4i1Yk4pT0.ar.vtt	0.6 KB
19. Linear Models in R-a2GCyz_N0oY.en.vtt	0.6 KB
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19. Linear Models in R-a2GCyz_N0oY.en-US.vtt	0.6 KB
19. Linear Models in R-a2GCyz_N0oY.pt-BR.vtt	0.6 KB
25. Congratulations and Next Steps-ph4p8n-I7vw.en.vtt	0.6 KB
25. Congratulations and Next Steps-ph4p8n-I7vw.pt-BR.vtt	0.6 KB
03. Scatterplot Review-e_8DmUBHAao.ar.vtt	0.6 KB
17. Price vs Carat and Color-ziYBjY1kTC8.en.vtt	0.6 KB
17. Price vs Carat and Color-ziYBjY1kTC8.pt-BR.vtt	0.6 KB
19. Linear Models in R-a2GCyz_N0oY.ja.vtt	0.6 KB
17. Price vs Carat and Color-ziYBjY1kTC8.ja.vtt	0.6 KB
19. Linear Models in R-a2GCyz_N0oY.ar.vtt	0.7 KB
21. Model Problems-Och80L_uNjU.zh-CN.vtt	0.7 KB
22. A Bigger, Better Data Set-uj6bLK91ZQI.zh-CN.vtt	0.7 KB
21. Model Problems-Och80L_uNjU.en.vtt	0.7 KB
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23. Predictions-hW_1ASU-j8A.zh-CN.vtt	0.8 KB
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21. Model Problems-Och80L_uNjU.ja.vtt	0.8 KB
22. A Bigger, Better Data Set-uj6bLK91ZQI.ja.vtt	0.8 KB
09. Connecting Demand and Price Distribution-_HWtxJRaawA.ja.vtt	0.8 KB
09. Connecting Demand and Price Distribution-_HWtxJRaawA.en.vtt	0.8 KB
24. Final Thoughts-CNGDocH1k3k.zh-CN.vtt	0.9 KB
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23. Predictions-hW_1ASU-j8A.en.vtt	0.9 KB
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23. Predictions-hW_1ASU-j8A.ar.vtt	1.1 KB
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24. Final Thoughts-CNGDocH1k3k.ar.vtt	1.3 KB
04. Price and Carat Relationship-b0oOWFDz9UQ.zh-CN.vtt	1.3 KB
12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.zh-CN.vtt	1.4 KB
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12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.en.vtt	1.5 KB
22. A Bigger, Better Data Set-q46nO0mznXM.zh-CN.vtt	1.5 KB
23. Predictions-3kH4ei9l4h8.zh-CN.vtt	1.5 KB
07. ggpairs Function-XUZIGbX3JIg.zh-CN.vtt	1.5 KB
12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.pt-BR.vtt	1.6 KB
11. Overplotting Revisited-P6ZOr7JiMLk.zh-CN.vtt	1.6 KB
21. Model Problems-MV_e0z9kFjM.zh-CN.vtt	1.6 KB
04. Price and Carat Relationship-b0oOWFDz9UQ.ja.vtt	1.6 KB
04. Price and Carat Relationship-b0oOWFDz9UQ.ar.vtt	1.7 KB
08. The Demand of Diamonds-h-YgETh80h4.zh-CN.vtt	1.7 KB
22. A Bigger, Better Data Set-q46nO0mznXM.en.vtt	1.7 KB
01. Welcome!-KJT4Z0xpHns.zh-CN.vtt	1.7 KB
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11. Overplotting Revisited-P6ZOr7JiMLk.pt-BR.vtt	1.8 KB
21. Model Problems-MV_e0z9kFjM.en.vtt	1.8 KB
12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.ja.vtt	1.8 KB
23. Predictions-3kH4ei9l4h8.ja.vtt	1.8 KB
22. A Bigger, Better Data Set-q46nO0mznXM.pt-BR.vtt	1.8 KB
11. Overplotting Revisited-P6ZOr7JiMLk.en.vtt	1.8 KB
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23. Predictions-3kH4ei9l4h8.pt-BR.vtt	1.8 KB
07. ggpairs Function-XUZIGbX3JIg.en.vtt	1.8 KB
06. The Rise of Diamonds-MD9RIDRVc-A.zh-CN.vtt	1.9 KB
21. Model Problems-MV_e0z9kFjM.ja.vtt	1.9 KB
21. Model Problems-MV_e0z9kFjM.pt-BR.vtt	1.9 KB
11. Overplotting Revisited-P6ZOr7JiMLk.ja.vtt	1.9 KB
22. A Bigger, Better Data Set-q46nO0mznXM.ja.vtt	1.9 KB
07. ggpairs Function-XUZIGbX3JIg.pt-BR.vtt	1.9 KB
20. Building the Linear Model-zyIc0sXYk2A.zh-CN.vtt	1.9 KB
08. The Demand of Diamonds-h-YgETh80h4.en.vtt	2.0 KB
07. ggpairs Function-XUZIGbX3JIg.ja.vtt	2.0 KB
12. Plot Colors for Qualitative Factors-2ZVGl6LrOPw.ar.vtt	2.0 KB
01. Welcome!-KJT4Z0xpHns.ja.vtt	2.0 KB
06. The Rise of Diamonds-MD9RIDRVc-A.en.vtt	2.1 KB
08. The Demand of Diamonds-h-YgETh80h4.pt-BR.vtt	2.1 KB
20. Building the Linear Model-zyIc0sXYk2A.en.vtt	2.1 KB
01. Welcome!-KJT4Z0xpHns.en.vtt	2.1 KB
20. Building the Linear Model-zyIc0sXYk2A.pt-BR.vtt	2.1 KB
01. Welcome!-KJT4Z0xpHns.pt-BR.vtt	2.1 KB
10. Scatterplot Transformation-h1wbEPuADz0.zh-CN.vtt	2.2 KB
06. The Rise of Diamonds-MD9RIDRVc-A.pt-BR.vtt	2.2 KB
23. Predictions-3kH4ei9l4h8.ar.vtt	2.2 KB
11. Overplotting Revisited-P6ZOr7JiMLk.ar.vtt	2.3 KB
20. Building the Linear Model-zyIc0sXYk2A.ja.vtt	2.3 KB
07. ggpairs Function-XUZIGbX3JIg.ar.vtt	2.3 KB
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21. Model Problems-MV_e0z9kFjM.ar.vtt	2.4 KB
10. Scatterplot Transformation-h1wbEPuADz0.ja.vtt	2.5 KB
10. Scatterplot Transformation-h1wbEPuADz0.pt-BR.vtt	2.5 KB
10. Scatterplot Transformation-h1wbEPuADz0.en.vtt	2.5 KB
06. The Rise of Diamonds-MD9RIDRVc-A.ja.vtt	2.5 KB
22. A Bigger, Better Data Set-q46nO0mznXM.ar.vtt	2.5 KB
01. Welcome!-KJT4Z0xpHns.ar.vtt	2.7 KB
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20. Building the Linear Model-zyIc0sXYk2A.ar.vtt	2.7 KB
07. ggpairs Function-iJEBxsKDDoE.zh-CN.vtt	2.7 KB
06. The Rise of Diamonds-MD9RIDRVc-A.ar.vtt	2.8 KB
05. Frances Gerety-GXT_vXBA0vQ.zh-CN.vtt	3.0 KB
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05. Frances Gerety-GXT_vXBA0vQ.ja.vtt	4.0 KB
07. ggpairs Function-iJEBxsKDDoE.ar.vtt	4.1 KB
05. Frances Gerety-GXT_vXBA0vQ.ar.vtt	4.6 KB
index.html	5.6 KB
02. Linear Regression Models.html	7.6 KB
01. Welcome!.html	7.9 KB
10. Scatterplot Transformation.html	8.0 KB
24. Final Thoughts.html	8.1 KB
06. The Rise of Diamonds.html	8.2 KB
20. Building the Linear Model.html	8.2 KB
12. Plot Colors for Qualitative Factors.html	8.3 KB
25. Congratulations and Next Steps.html	8.9 KB
14. Clarity and Price.html	9.0 KB
04. Price and Carat Relationship.html	9.2 KB
16. Cut and Price.html	9.2 KB
18. Color and Price.html	9.4 KB
09. Connecting Demand and Price Distribution.html	9.4 KB
05. Frances Gerety.html	9.4 KB
19. Linear Models in R.html	9.8 KB
23. Predictions.html	9.9 KB
08. The Demand of Diamonds.html	10.4 KB
07. ggpairs Function.html	10.7 KB
15. Price vs Carat and Cut.html	10.7 KB
03. Scatterplot Review.html	10.7 KB
17. Price vs Carat and Color.html	10.8 KB
21. Model Problems.html	11.1 KB
11. Overplotting Revisited.html	11.2 KB
13. Price vs. Carat and Clarity.html	11.3 KB
22. A Bigger, Better Data Set.html	13.2 KB
/Part 16-Module 01-Lesson 09_Clustering/
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08. Handoff to Katie-knrPsGtpyQY.zh-CN.vtt	0.2 KB
08. Handoff to Katie-knrPsGtpyQY.en.vtt	0.2 KB
08. Handoff to Katie-knrPsGtpyQY.ar.vtt	0.3 KB
14. Limitations of K-Means-nvLhUSSUhiY.zh-CN.vtt	0.3 KB
14. Limitations of K-Means-nvLhUSSUhiY.pt-BR.vtt	0.3 KB
06. Moving Centers 2-uC1Xwc7warg.en.vtt	0.3 KB
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06. Moving Centers 2-uC1Xwc7warg.pt-BR.vtt	0.3 KB
06. Moving Centers 2-uC1Xwc7warg.zh-CN.vtt	0.3 KB
07. Match Points (again)-9J3IwQFXveI.en.vtt	0.4 KB
07. Match Points (again)-9J3IwQFXveI.zh-CN.vtt	0.4 KB
06. Moving Centers 2-FY0DXe0lfrI.zh-CN.vtt	0.4 KB
06. Moving Centers 2-FY0DXe0lfrI.en.vtt	0.4 KB
07. Match Points (again)-9J3IwQFXveI.pt-BR.vtt	0.4 KB
06. Moving Centers 2-FY0DXe0lfrI.pt-BR.vtt	0.4 KB
03. How Many Clusters-8Ygq5dRV0Kk.zh-CN.vtt	0.4 KB
14. Limitations of K-Means-nvLhUSSUhiY.ar.vtt	0.4 KB
09. K-Means Cluster Visualization-ZMfwPUrOFsE.zh-CN.vtt	0.4 KB
03. How Many Clusters-8Ygq5dRV0Kk.pt-BR.vtt	0.4 KB
06. Moving Centers 2-uC1Xwc7warg.ar.vtt	0.4 KB
09. K-Means Cluster Visualization-ZMfwPUrOFsE.en.vtt	0.5 KB
09. K-Means Cluster Visualization-ZMfwPUrOFsE.pt-BR.vtt	0.5 KB
03. How Many Clusters-8Ygq5dRV0Kk.en.vtt	0.5 KB
06. Moving Centers 2-FY0DXe0lfrI.ar.vtt	0.5 KB
05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.zh-CN.vtt	0.5 KB
07. Match Points (again)-9J3IwQFXveI.ar.vtt	0.5 KB
03. How Many Clusters-8Ygq5dRV0Kk.ar.vtt	0.5 KB
13. Some challenges of k-means-e2CdlG5P4WA.zh-CN.vtt	0.5 KB
13. Some challenges of k-means-e2CdlG5P4WA.pt-BR.vtt	0.5 KB
09. K-Means Cluster Visualization-ZMfwPUrOFsE.ar.vtt	0.6 KB
04. Match Points with Clusters-wJV1cRjmIYY.zh-CN.vtt	0.6 KB
05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.en.vtt	0.6 KB
13. Some challenges of k-means-e2CdlG5P4WA.en.vtt	0.6 KB
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04. Match Points with Clusters-wJV1cRjmIYY.en.vtt	0.6 KB
16. Counterintuitive Clusters 2-xSQTzAeeoEc.zh-CN.vtt	0.6 KB
16. Counterintuitive Clusters 2-xSQTzAeeoEc.en.vtt	0.7 KB
04. Match Points with Clusters-wJV1cRjmIYY.pt-BR.vtt	0.7 KB
16. Counterintuitive Clusters 2-xSQTzAeeoEc.pt-BR.vtt	0.7 KB
04. Match Points with Clusters-lS5DfbsWH34.zh-CN.vtt	0.7 KB
04. Match Points with Clusters-wJV1cRjmIYY.ar.vtt	0.7 KB
03. How Many Clusters-R6oIvdBtsZw.zh-CN.vtt	0.7 KB
03. How Many Clusters-R6oIvdBtsZw.en.vtt	0.8 KB
04. Match Points with Clusters-lS5DfbsWH34.en.vtt	0.8 KB
03. How Many Clusters-R6oIvdBtsZw.pt-BR.vtt	0.8 KB
04. Match Points with Clusters-lS5DfbsWH34.pt-BR.vtt	0.8 KB
14. Limitations of K-Means-4Fkfu37el_k.zh-CN.vtt	0.8 KB
05. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.ar.vtt	0.8 KB
16. Counterintuitive Clusters 2-xSQTzAeeoEc.ar.vtt	0.8 KB
14. Limitations of K-Means-4Fkfu37el_k.en.vtt	0.9 KB
14. Limitations of K-Means-4Fkfu37el_k.pt-BR.vtt	0.9 KB
13. Some challenges of k-means-e2CdlG5P4WA.ar.vtt	0.9 KB
15. Counterintuitive Clusters-aveIz1JYeAg.zh-CN.vtt	0.9 KB
15. Counterintuitive Clusters-aveIz1JYeAg.en.vtt	1.0 KB
03. How Many Clusters-R6oIvdBtsZw.ar.vtt	1.0 KB
07. Match Points (again)-5j6VZr8sHo8.zh-CN.vtt	1.0 KB
15. Counterintuitive Clusters-aveIz1JYeAg.pt-BR.vtt	1.0 KB
17. Clustering Mini-Project Video-68EGMItJiNM.en.vtt	1.1 KB
04. Match Points with Clusters-lS5DfbsWH34.ar.vtt	1.1 KB
17. Clustering Mini-Project Video-68EGMItJiNM.pt-BR.vtt	1.2 KB
07. Match Points (again)-5j6VZr8sHo8.en.vtt	1.3 KB
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14. Limitations of K-Means-4Fkfu37el_k.ar.vtt	1.3 KB
09. K-Means Cluster Visualization-iCTPBcowJRY.zh-CN.vtt	1.4 KB
15. Counterintuitive Clusters-aveIz1JYeAg.ar.vtt	1.4 KB
17. Clustering Mini-Project Video-68EGMItJiNM.ar.vtt	1.4 KB
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05. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.zh-CN.vtt	1.5 KB
09. K-Means Cluster Visualization-iCTPBcowJRY.pt-BR.vtt	1.5 KB
16. Counterintuitive Clusters 2-HyjBus7S2gY.en.vtt	1.5 KB
16. Counterintuitive Clusters 2-HyjBus7S2gY.pt-BR.vtt	1.6 KB
09. K-Means Cluster Visualization-iCTPBcowJRY.en.vtt	1.6 KB
05. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.pt-BR.vtt	1.6 KB
07. Match Points (again)-5j6VZr8sHo8.ar.vtt	1.6 KB
05. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.en.vtt	1.7 KB
16. Counterintuitive Clusters 2-HyjBus7S2gY.ar.vtt	1.9 KB
15. Counterintuitive Clusters-StmEUgT1XSY.zh-CN.vtt	1.9 KB
09. K-Means Cluster Visualization-iCTPBcowJRY.ar.vtt	2.1 KB
05. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.ar.vtt	2.2 KB
15. Counterintuitive Clusters-StmEUgT1XSY.en.vtt	2.2 KB
15. Counterintuitive Clusters-StmEUgT1XSY.pt-BR.vtt	2.2 KB
11. K-Means Clustering Visualization 3-WfwX3B4d8_I.zh-CN.vtt	2.3 KB
02. Clustering Movies-g8PKffm8IRY.zh-CN.vtt	2.6 KB
11. K-Means Clustering Visualization 3-WfwX3B4d8_I.pt-BR.vtt	2.6 KB
11. K-Means Clustering Visualization 3-WfwX3B4d8_I.en.vtt	2.7 KB
01. Unsupervised Learning-Mx9f99bRB3Q.zh-CN.vtt	2.7 KB
02. Clustering Movies-g8PKffm8IRY.en.vtt	2.9 KB
02. Clustering Movies-g8PKffm8IRY.pt-BR.vtt	2.9 KB
15. Counterintuitive Clusters-StmEUgT1XSY.ar.vtt	3.0 KB
10. K-Means Clustering Visualization 2-fQXXa-CAoS0.zh-CN.vtt	3.1 KB
01. Unsupervised Learning-Mx9f99bRB3Q.pt-BR.vtt	3.2 KB
01. Unsupervised Learning-Mx9f99bRB3Q.en.vtt	3.3 KB
10. K-Means Clustering Visualization 2-fQXXa-CAoS0.pt-BR.vtt	3.5 KB
10. K-Means Clustering Visualization 2-fQXXa-CAoS0.en.vtt	3.6 KB
11. K-Means Clustering Visualization 3-WfwX3B4d8_I.ar.vtt	3.8 KB
02. Clustering Movies-g8PKffm8IRY.ar.vtt	4.1 KB
01. Unsupervised Learning-Mx9f99bRB3Q.ar.vtt	4.5 KB
10. K-Means Clustering Visualization 2-fQXXa-CAoS0.ar.vtt	5.0 KB
index.html	5.5 KB
12. Sklearn-3zHUAXcoZ7c.zh-CN.vtt	5.7 KB
12. Sklearn-3zHUAXcoZ7c.pt-BR.vtt	6.6 KB
12. Sklearn-3zHUAXcoZ7c.en.vtt	6.8 KB
12. Sklearn.html	7.4 KB
17. Clustering Mini-Project Video.html	7.4 KB
08. Handoff to Katie.html	7.5 KB
02. Clustering Movies.html	7.5 KB
01. Unsupervised Learning.html	7.5 KB
13. Some challenges of k-means.html	7.5 KB
11. K-Means Clustering Visualization 3.html	7.6 KB
18. K-Means Clustering Mini-Project.html	7.7 KB
10. K-Means Clustering Visualization 2.html	8.0 KB
23. Salary Range.html	8.2 KB
20. Deploying Clustering.html	8.4 KB
19. Clustering Features.html	8.5 KB
22. Stock Option Range.html	8.6 KB
21. Clustering with 3 Features.html	8.7 KB
03. How Many Clusters.html	8.7 KB
14. Limitations of K-Means.html	9.0 KB
15. Counterintuitive Clusters.html	9.0 KB
16. Counterintuitive Clusters 2.html	9.0 KB
12. Sklearn-3zHUAXcoZ7c.ar.vtt	9.1 KB
09. K-Means Cluster Visualization.html	9.3 KB
06. Moving Centers 2.html	9.3 KB
05. Optimizing Centers (Rubber Bands).html	9.3 KB
24. Clustering Changes.html	9.9 KB
07. Match Points (again).html	10.5 KB
04. Match Points with Clusters.html	10.6 KB
/Part 08-Module 01-Lesson 01_Introduction to Data Wrangling/
17. Assess Tidiness-LSdhieL7nXU.en.vtt	0.2 KB
17. Assess Tidiness-LSdhieL7nXU.zh-CN.vtt	0.2 KB
17. Assess Tidiness-LSdhieL7nXU.ar.vtt	0.3 KB
17. Assess Tidiness-LSdhieL7nXU.pt-BR.vtt	0.3 KB
12. Gather Import Solution-QnTPEAGXJaE.zh-CN.vtt	0.6 KB
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08. Gather Download-a5o3ck1bxEs.zh-CN.vtt	0.6 KB
08. Gather Download Solution-SDqdLhgsBNc.zh-CN.vtt	0.7 KB
12. Gather Import Solution-QnTPEAGXJaE.pt-BR.vtt	0.7 KB
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08. Gather Download Solution-SDqdLhgsBNc.pt-BR.vtt	0.7 KB
08. Gather Download-a5o3ck1bxEs.en.vtt	0.8 KB
08. Gather Download-a5o3ck1bxEs.pt-BR.vtt	0.8 KB
12. Gather Import Solution-QnTPEAGXJaE.ar.vtt	0.8 KB
21. Clean Code 1 Solution -Noykh9Zt6aI.zh-CN.vtt	0.8 KB
21. Clean Code 1 Solution -Noykh9Zt6aI.en.vtt	0.9 KB
21. Clean Code 1 Solution -Noykh9Zt6aI.pt-BR.vtt	1.0 KB
08. Gather Download-a5o3ck1bxEs.ar.vtt	1.0 KB
15. Assess Visual-PVbOzw5libM.en.vtt	1.0 KB
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29. Conclusion-SRXNBlvW-xw.zh-CN.vtt	1.1 KB
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27. Analysis and Visualization (Before Cleaning)-jJH3H8Rqv8s.zh-CN.vtt	1.1 KB
14. 141 Assess Intro V4-mdrAdtziXh4.zh-CN.vtt	1.1 KB
15. Assess Visual-PVbOzw5libM.pt-BR.vtt	1.1 KB
08. Gather Download II-T4iFJoHb_qU.pt-BR.vtt	1.1 KB
22. Clean Code 2 Solution-ncqhpqt0Mik.zh-CN.vtt	1.2 KB
08. Gather Download II-T4iFJoHb_qU.en.vtt	1.2 KB
29. Conclusion-SRXNBlvW-xw.en.vtt	1.2 KB
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23. Clean Test 2-CyeB16-eGSg.zh-CN.vtt	1.3 KB
23. Clean Test 2-CyeB16-eGSg.en.vtt	1.3 KB
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15. Assess Visual-PVbOzw5libM.ar.vtt	1.4 KB
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29. Conclusion-SRXNBlvW-xw.pt-BR.vtt	1.4 KB
10. Gather Unzip Solution -Pzy8nHA_EJc.en.vtt	1.5 KB
10. Gather Unzip Solution -Pzy8nHA_EJc.pt-BR.vtt	1.5 KB
23. Clean Test 2-CyeB16-eGSg.pt-BR.vtt	1.5 KB
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25. Reassess and Iterate-eu1gO_76pSY.en.vtt	1.5 KB
04. More Examples-gj-or8b8TmM.pt-BR.vtt	1.5 KB
14. 141 Assess Intro V4-mdrAdtziXh4.ar.vtt	1.5 KB
19. Clean Programmatic Data Cleaning Process-9-T1CFuOqdQ.zh-CN.vtt	1.5 KB
19. Clean Intro -FnUrE4dhgh8.zh-CN.vtt	1.5 KB
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27. Analysis and Visualization (Before Cleaning)-jJH3H8Rqv8s.ar.vtt	1.6 KB
19. Clean Intro -FnUrE4dhgh8.en.vtt	1.6 KB
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08. Gather Download II-T4iFJoHb_qU.ar.vtt	1.7 KB
10. Gather Unzip File 1-V7STsHoZ2gA.zh-CN.vtt	1.7 KB
01. Introduction to Data Wrangling-4cFsT9KBRs8.zh-CN.vtt	1.7 KB
22. Clean Code 2 Solution-ncqhpqt0Mik.ar.vtt	1.7 KB
10. Gather Unzip File 1-V7STsHoZ2gA.en.vtt	1.8 KB
01. Introduction to Data Wrangling-4cFsT9KBRs8.pt-BR.vtt	1.8 KB
29. Conclusion-SRXNBlvW-xw.ar.vtt	1.8 KB
01. Introduction to Data Wrangling-4cFsT9KBRs8.en.vtt	1.9 KB
10. Gather Unzip Solution -Pzy8nHA_EJc.ar.vtt	1.9 KB
04. More Examples-gj-or8b8TmM.ar.vtt	1.9 KB
19. Clean Programmatic Data Cleaning Process-9-T1CFuOqdQ.pt-BR.vtt	1.9 KB
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15. Assess Solution --faitcQ7SKs.en.vtt	2.1 KB
17. Assess Solution -lJEMTES2Ar8.zh-CN.vtt	2.2 KB
11. Gather CSV Files-FpWi4tExVwg.zh-CN.vtt	2.2 KB
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23. Clean Test 1-J4X9r0EGH3k.en.vtt	2.6 KB
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12. Gather Import-tU1N-8aNB_M.ar.vtt	5.8 KB
index.html	5.8 KB
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22. Clean Code 2-ZXy8jgywY5g.ar.vtt	6.7 KB
04. David's Data Wrangling Example-TN-CWy3GK44.zh-CN.vtt	7.0 KB
27. Analysis and Visualization (After Cleaning)-OF2486euiRE.ar.vtt	7.8 KB
29. Conclusion.html	7.8 KB
06. Gather (Intro).html	7.8 KB
11. Gather (CSV Files).html	7.8 KB
01. Introduction.html	7.9 KB
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24. Clean (Summary).html	8.7 KB
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03. A Definition and An Analogy.html	9.1 KB
05. Walkthrough and Dataset.html	9.1 KB
25. Reassess and Iterate.html	9.2 KB
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04. Examples.html	9.5 KB
26. Wrangling vs. EDA vs. ETL.html	9.7 KB
28. Data Wrangling Summary.html	9.7 KB
02. Course Outline.html	10.1 KB
09. Quiz Gather (Open Jupyter Notebook).html	10.3 KB
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/Part 07-Module 01-Lesson 02_R Basics/
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08. Demystifying R-Or9KvEd1flY.en.vtt	0.3 KB
08. Demystifying R-Or9KvEd1flY.ar.vtt	0.3 KB
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17. Congratulations-GxhPaVbDHnw.en.vtt	0.7 KB
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17. Congratulations-GxhPaVbDHnw.ar.vtt	0.9 KB
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/Part 16-Module 01-Lesson 11_Text Learning/
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09. Getting Stopwords from NLTK-DxCwtkrYR-s.pt-BR.vtt	3.1 KB
14. Why Upweight Rare Words-xYQb6f1SIEk.ar.vtt	3.1 KB
10. Stemming to Consolidate Vocabulary-gBwGPI0srBE.en.vtt	3.2 KB
10. Stemming to Consolidate Vocabulary-gBwGPI0srBE.pt-BR.vtt	3.3 KB
11. Stemming with NLTK-gWbkW_cyNs8.zh-CN.vtt	3.5 KB
11. Stemming with NLTK-gWbkW_cyNs8.pt-BR.vtt	3.7 KB
11. Stemming with NLTK-gWbkW_cyNs8.en.vtt	4.0 KB
09. Getting Stopwords from NLTK-DxCwtkrYR-s.ar.vtt	4.0 KB
10. Stemming to Consolidate Vocabulary-gBwGPI0srBE.ar.vtt	4.3 KB
06. Bag of Words in Sklearn-aCdg-d_476Y.zh-CN.vtt	5.1 KB
index.html	5.3 KB
11. Stemming with NLTK-gWbkW_cyNs8.ar.vtt	5.4 KB
06. Bag of Words in Sklearn-aCdg-d_476Y.pt-BR.vtt	5.8 KB
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11. Stemming with NLTK.html	7.2 KB
14. Why Upweight Rare Words.html	7.2 KB
15. Text Learning Mini-Project Video.html	7.3 KB
10. Stemming to Consolidate Vocabulary.html	7.3 KB
16. Text Learning Mini-Project.html	7.4 KB
21. Accessing TfIdf Features.html	7.5 KB
06. Bag of Words in Sklearn.html	7.5 KB
20. TfIdf It.html	7.8 KB
18. Deploying Stemming.html	7.9 KB
06. Bag of Words in Sklearn-aCdg-d_476Y.ar.vtt	7.9 KB
17. Warming Up with parseOutText().html	8.1 KB
08. Stopwords.html	8.5 KB
19. Clean Away Signature Words.html	8.5 KB
13. Weighting by Term Frequency.html	8.8 KB
01. Dimensions when Learning From Text.html	9.5 KB
05. Properties of Bag of Words.html	9.6 KB
02. Bag Of Words.html	9.8 KB
03. A Very Nice Day.html	9.9 KB
04. Mr. Day Loves a Nice Day.html	10.0 KB
12. Order of Operations in Text Processing.html	10.1 KB
09. Getting Stopwords from NLTK.html	10.2 KB
07. Low-Information Words.html	10.8 KB
/Part 08-Module 03-Lesson 01_Assessing Data/
11. Quality Visual Assessment 2 -dRbjnKOnd0Y.zh-CN.vtt	0.3 KB
11. Quality Visual Assessment 2 -dRbjnKOnd0Y.en.vtt	0.3 KB
11. Quality Visual Assessment 2 -dRbjnKOnd0Y.pt-BR.vtt	0.4 KB
11. Quality Visual Assessment 2 -dRbjnKOnd0Y.ar.vtt	0.5 KB
13. Date Quality Dimensions 2 -aEGtqoWIJIc.zh-CN.vtt	0.7 KB
20. You Can Iterate-ZU8EnPbR-pk.pt-BR.vtt	0.7 KB
20. You Can Iterate-ZU8EnPbR-pk.zh-CN.vtt	0.7 KB
13. Date Quality Dimensions 2 -aEGtqoWIJIc.en.vtt	0.7 KB
20. You Can Iterate-ZU8EnPbR-pk.en.vtt	0.7 KB
13. Date Quality Dimensions 2 -aEGtqoWIJIc.pt-BR.vtt	0.7 KB
13. Date Quality Dimensions 2 -aEGtqoWIJIc.ar.vtt	0.9 KB
20. You Can Iterate-ZU8EnPbR-pk.ar.vtt	1.0 KB
22. Outro -lfWT0kLfe8c.zh-CN.vtt	1.1 KB
16. Quality Programatic Assessment 2 -Ngl_TsqhMsc.zh-CN.vtt	1.1 KB
22. Outro -lfWT0kLfe8c.en.vtt	1.2 KB
16. Quality Programatic Assessment 2 -Ngl_TsqhMsc.pt-BR.vtt	1.3 KB
16. Quality Programatic Assessment 2 -Ngl_TsqhMsc.en.vtt	1.3 KB
22. Outro -lfWT0kLfe8c.pt-BR.vtt	1.3 KB
10. Assessing Vs Exploring V2 -hVFZ6jFKOso.zh-CN.vtt	1.4 KB
18. Tidiness Programmatic Assessment -YrX-oiFilyA.zh-CN.vtt	1.5 KB
10. Assessing Vs Exploring V2 -hVFZ6jFKOso.en.vtt	1.6 KB
16. Quality Programatic Assessment 2 -Ngl_TsqhMsc.ar.vtt	1.6 KB
22. Outro -lfWT0kLfe8c.ar.vtt	1.7 KB
18. Tidiness Programmatic Assessment -YrX-oiFilyA.pt-BR.vtt	1.7 KB
10. Assessing Vs Exploring V2 -hVFZ6jFKOso.pt-BR.vtt	1.7 KB
18. Tidiness Programmatic Assessment -YrX-oiFilyA.en.vtt	1.7 KB
01. Introduction-4U3nFMf2KEs.zh-CN.vtt	1.9 KB
01. Introduction-4U3nFMf2KEs.en.vtt	1.9 KB
01. Introduction-4U3nFMf2KEs.pt-BR.vtt	2.0 KB
10. Assessing Vs Exploring V2 -hVFZ6jFKOso.ar.vtt	2.2 KB
18. Tidiness Programmatic Assessment -YrX-oiFilyA.ar.vtt	2.5 KB
14. Programatic Assessment -Bk_Ve3-4eps.zh-CN.vtt	2.5 KB
01. Introduction-4U3nFMf2KEs.ar.vtt	2.6 KB
18. Tidiness Programmatic Assessment Solution-LhdGQC_vjEs.zh-CN.vtt	2.6 KB
04. Unclean Data Dirty Messy -WG6mil60jq0.en.vtt	2.7 KB
06. Types vs. Steps -oZmndg-BnPk.zh-CN.vtt	2.7 KB
04. Unclean Data Dirty Messy -WG6mil60jq0.zh-CN.vtt	2.7 KB
18. Tidiness Programmatic Assessment Solution-LhdGQC_vjEs.pt-BR.vtt	2.7 KB
14. Programatic Assessment -Bk_Ve3-4eps.pt-BR.vtt	2.7 KB
14. Programatic Assessment -Bk_Ve3-4eps.en.vtt	2.9 KB
13. Date Quality Dimensions 2 Solution-kqcuw1qCLEM.zh-CN.vtt	2.9 KB
13. Date Quality Dimensions 2 Solution-kqcuw1qCLEM.pt-BR.vtt	2.9 KB
04. Unclean Data Dirty Messy -WG6mil60jq0.pt-BR.vtt	2.9 KB
17. Tidiness Visual Assessment Solution-H50mPHHp6fY.zh-CN.vtt	3.0 KB
06. Types vs. Steps -oZmndg-BnPk.en.vtt	3.0 KB
18. Tidiness Programmatic Assessment Solution-LhdGQC_vjEs.en.vtt	3.0 KB
06. Types vs. Steps -oZmndg-BnPk.pt-BR.vtt	3.0 KB
07. Visual Assessment -GVVibuIg3Ro.zh-CN.vtt	3.1 KB
17. Tidiness Visual Assessment Solution-H50mPHHp6fY.pt-BR.vtt	3.1 KB
13. Date Quality Dimensions 2 Solution-kqcuw1qCLEM.en.vtt	3.2 KB
17. Tidiness Visual Assessment Solution-H50mPHHp6fY.en.vtt	3.2 KB
17. Tidiness Visual Assessment -BNRJdhA8_s8.zh-CN.vtt	3.6 KB
07. Visual Assessment -GVVibuIg3Ro.en.vtt	3.6 KB
17. Tidiness Visual Assessment -BNRJdhA8_s8.pt-BR.vtt	3.6 KB
07. Visual Assessment -GVVibuIg3Ro.pt-BR.vtt	3.7 KB
17. Tidiness Visual Assessment -BNRJdhA8_s8.en.vtt	3.8 KB
13. Date Quality Dimensions 2 Solution-kqcuw1qCLEM.ar.vtt	4.0 KB
04. Unclean Data Dirty Messy -WG6mil60jq0.ar.vtt	4.0 KB
14. Programatic Assessment -Bk_Ve3-4eps.ar.vtt	4.0 KB
18. Tidiness Programmatic Assessment Solution-LhdGQC_vjEs.ar.vtt	4.0 KB
06. Types vs. Steps -oZmndg-BnPk.ar.vtt	4.1 KB
17. Tidiness Visual Assessment Solution-H50mPHHp6fY.ar.vtt	4.3 KB
07. Visual Assessment -GVVibuIg3Ro.ar.vtt	4.8 KB
11. Quality Visual Assessment 2 Solution-E5tAoCK6GcQ.zh-CN.vtt	4.9 KB
11. Quality Visual Assessment 2 Solution-E5tAoCK6GcQ.pt-BR.vtt	5.1 KB
17. Tidiness Visual Assessment -BNRJdhA8_s8.ar.vtt	5.3 KB
11. Quality Visual Assessment 2 Solution-E5tAoCK6GcQ.en.vtt	5.3 KB
index.html	5.5 KB
12. Data Quality Dimensions 1-5UYGvKDsd-M.zh-CN.vtt	6.9 KB
09. Quality Visual Assessment 1 -XfKc5PtJ7cc.zh-CN.vtt	6.9 KB
03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.zh-CN.vtt	7.1 KB
11. Quality Visual Assessment 2 Solution-E5tAoCK6GcQ.ar.vtt	7.1 KB
03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.pt-BR.vtt	7.3 KB
09. Quality Visual Assessment 1 -XfKc5PtJ7cc.pt-BR.vtt	7.3 KB
12. Data Quality Dimensions 1-5UYGvKDsd-M.en.vtt	7.4 KB
07. Visual Assessment.html	7.4 KB
03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.en.vtt	7.4 KB
12. Data Quality Dimensions 1-5UYGvKDsd-M.pt-BR.vtt	7.4 KB
04. Unclean Data Dirty vs. Messy 1.html	7.5 KB
22. Conclusion.html	7.6 KB
01. Introduction.html	7.6 KB
08. Visual Assessment Acquaint Yourself.html	7.7 KB
09. Quality Visual Assessment 1 -XfKc5PtJ7cc.en.vtt	7.7 KB
21. Assessing Summary.html	7.8 KB
02. Lesson Outline.html	8.4 KB
20. You Can Iterate!.html	8.5 KB
19. How Data Gets Dirty and Messy.html	8.5 KB
06. Assessment Types vs. Steps.html	9.0 KB
10. Assessing vs. Exploring.html	9.1 KB
14. Programmatic Assessment.html	9.2 KB
03. Dataset Oral Insulin Phase II Clinical Trial Data.html	9.5 KB
18. Tidiness Programmatic Assessment.html	9.6 KB
09. Quality Visual Assessment 1.html	9.7 KB
12. Data Quality Dimensions 1.html	9.8 KB
12. Data Quality Dimensions 1-5UYGvKDsd-M.ar.vtt	10.3 KB
09. Quality Visual Assessment 1 -XfKc5PtJ7cc.ar.vtt	10.5 KB
03. Dataset Oral Insulin Clinical Trial Data-R-HT78SPxpE.ar.vtt	10.8 KB
17. Tidiness Visual Assessment.html	11.0 KB
15. Quality Programmatic Assessment 1.html	11.5 KB
16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.zh-CN.vtt	11.7 KB
16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.pt-BR.vtt	12.3 KB
15. Quality Programatic Assessment 1-l-FhDkQRclA.zh-CN.vtt	12.5 KB
13. Data Quality Dimensions 2.html	12.6 KB
15. Quality Programatic Assessment 1-l-FhDkQRclA.pt-BR.vtt	12.8 KB
11. Quality Visual Assessment 2.html	12.9 KB
16. Quality Programmatic Assessment 2.html	13.0 KB
16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.en.vtt	13.0 KB
15. Quality Programatic Assessment 1-l-FhDkQRclA.en.vtt	14.0 KB
05. Unclean Data Dirty vs. Messy 2.html	14.6 KB
16. Quality Programatic Assessment 2 Solution-CWJZoi_Es84.ar.vtt	17.3 KB
15. Quality Programatic Assessment 1-l-FhDkQRclA.ar.vtt	19.3 KB
/Part 16-Module 01-Lesson 14_Validation/
07. Where to use training vs. testing data 4-3RuKO3PQWg0.zh-CN.vtt	0.3 KB
07. Where to use training vs. testing data 4-3RuKO3PQWg0.en.vtt	0.3 KB
07. Where to use training vs. testing data 4-3RuKO3PQWg0.pt-BR.vtt	0.4 KB
05. Where to use training vs. testing data 2-5v1jxDIwGqk.zh-CN.vtt	0.4 KB
07. Where to use training vs. testing data 4-3RuKO3PQWg0.ar.vtt	0.5 KB
05. Where to use training vs. testing data 2-5v1jxDIwGqk.en.vtt	0.5 KB
05. Where to use training vs. testing data 2-5v1jxDIwGqk.pt-BR.vtt	0.5 KB
04. Where to use training vs. testing data 1-z2R5CqjXrkA.zh-CN.vtt	0.6 KB
07. Where to use training vs. testing data 4-I_v6ueT0k3M.zh-CN.vtt	0.6 KB
06. Where to use training vs. testing data 3-o7LnSu0CEb4.zh-CN.vtt	0.6 KB
05. Where to use training vs. testing data 2-5v1jxDIwGqk.ar.vtt	0.6 KB
06. Where to use training vs. testing data 3-o7LnSu0CEb4.en.vtt	0.7 KB
07. Where to use training vs. testing data 4-I_v6ueT0k3M.en.vtt	0.7 KB
04. Where to use training vs. testing data 1-z2R5CqjXrkA.en.vtt	0.7 KB
06. Where to use training vs. testing data 3-o7LnSu0CEb4.pt-BR.vtt	0.7 KB
07. Where to use training vs. testing data 4-I_v6ueT0k3M.pt-BR.vtt	0.7 KB
14. On to the Validation Mini-Project-JEK7-ocWu0M.zh-CN.vtt	0.7 KB
04. Where to use training vs. testing data 1-z2R5CqjXrkA.pt-BR.vtt	0.7 KB
05. Where to use training vs. testing data 2-K4gGK4ScT7M.zh-CN.vtt	0.8 KB
14. On to the Validation Mini-Project-JEK7-ocWu0M.en.vtt	0.8 KB
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06. Where to use training vs. testing data 3-o7LnSu0CEb4.ar.vtt	0.9 KB
07. Where to use training vs. testing data 4-I_v6ueT0k3M.ar.vtt	0.9 KB
05. Where to use training vs. testing data 2-K4gGK4ScT7M.en.vtt	0.9 KB
05. Where to use training vs. testing data 2-K4gGK4ScT7M.pt-BR.vtt	1.0 KB
02. Benefits of Testing-N6hiygoT9FE.zh-CN.vtt	1.0 KB
08. K-Fold Cross Validation-ADNFKiAjmWA.zh-CN.vtt	1.0 KB
02. Benefits of Testing-7LGaeYfvRug.zh-CN.vtt	1.0 KB
04. Where to use training vs. testing data 1-z2R5CqjXrkA.ar.vtt	1.0 KB
14. On to the Validation Mini-Project-JEK7-ocWu0M.ar.vtt	1.1 KB
02. Benefits of Testing-N6hiygoT9FE.pt-BR.vtt	1.1 KB
06. Where to use training vs. testing data 3--XfG5hXveiE.zh-CN.vtt	1.1 KB
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08. K-Fold Cross Validation-ADNFKiAjmWA.pt-BR.vtt	1.1 KB
02. Benefits of Testing-N6hiygoT9FE.en.vtt	1.2 KB
02. Benefits of Testing-7LGaeYfvRug.en.vtt	1.2 KB
08. K-Fold Cross Validation-ADNFKiAjmWA.en.vtt	1.2 KB
05. Where to use training vs. testing data 2-K4gGK4ScT7M.ar.vtt	1.2 KB
11. Cross Validation for Parameter Tuning-Xcb9jjjAm60.zh-CN.vtt	1.3 KB
11. Cross Validation for Parameter Tuning-Xcb9jjjAm60.pt-BR.vtt	1.3 KB
06. Where to use training vs. testing data 3--XfG5hXveiE.en.vtt	1.3 KB
01. Cross Validation for Fun and Profit-VkUpuABChT4.zh-CN.vtt	1.3 KB
06. Where to use training vs. testing data 3--XfG5hXveiE.pt-BR.vtt	1.3 KB
11. Cross Validation for Parameter Tuning-Xcb9jjjAm60.en.vtt	1.3 KB
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08. K-Fold Cross Validation-ADNFKiAjmWA.ar.vtt	1.5 KB
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02. Benefits of Testing-7LGaeYfvRug.ar.vtt	1.6 KB
15. Validation Mini-Project Video-dlbeMlRoFd4.pt-BR.vtt	1.7 KB
15. Validation Mini-Project Video-dlbeMlRoFd4.en.vtt	1.8 KB
06. Where to use training vs. testing data 3--XfG5hXveiE.ar.vtt	1.8 KB
11. Cross Validation for Parameter Tuning-Xcb9jjjAm60.ar.vtt	1.9 KB
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04. Where to use training vs. testing data 1-NvgWKf-iBsw.zh-CN.vtt	2.1 KB
15. Validation Mini-Project Video-dlbeMlRoFd4.ar.vtt	2.3 KB
04. Where to use training vs. testing data 1-NvgWKf-iBsw.en.vtt	2.6 KB
04. Where to use training vs. testing data 1-NvgWKf-iBsw.pt-BR.vtt	2.6 KB
09. K-Fold CV in sklearn-QSYMwFbE7PA.zh-CN.vtt	3.3 KB
03. TrainTest Split in sklearn-lSwvUmZCvco.zh-CN.vtt	3.6 KB
04. Where to use training vs. testing data 1-NvgWKf-iBsw.ar.vtt	3.7 KB
09. K-Fold CV in sklearn-QSYMwFbE7PA.pt-BR.vtt	3.8 KB
09. K-Fold CV in sklearn-QSYMwFbE7PA.en.vtt	4.0 KB
09. K-Fold CV in sklearn-QSYMwFbE7PA.en-US.vtt	4.0 KB
08. K-Fold Cross Validation-TIgfjmp-4BA.zh-CN.vtt	4.2 KB
03. TrainTest Split in sklearn-lSwvUmZCvco.en.vtt	4.2 KB
03. TrainTest Split in sklearn-lSwvUmZCvco.pt-BR.vtt	4.5 KB
10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.zh-CN.vtt	4.5 KB
08. K-Fold Cross Validation-TIgfjmp-4BA.en.vtt	4.6 KB
08. K-Fold Cross Validation-TIgfjmp-4BA.pt-BR.vtt	4.6 KB
10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.en.vtt	5.3 KB
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09. K-Fold CV in sklearn-QSYMwFbE7PA.ar.vtt	5.7 KB
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03. TrainTest Split in sklearn-lSwvUmZCvco.ar.vtt	5.7 KB
08. K-Fold Cross Validation-TIgfjmp-4BA.ar.vtt	6.7 KB
16. Validation Mini-Project.html	6.9 KB
15. Validation Mini-Project Video.html	7.2 KB
14. On to the Validation Mini-Project.html	7.2 KB
01. Cross Validation for Fun and Profit.html	7.2 KB
11. Cross Validation for Parameter Tuning.html	7.3 KB
09. K-Fold CV in sklearn.html	7.6 KB
10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.ar.vtt	7.8 KB
18. Deploying a TrainingTesting Regime.html	7.9 KB
13. GridSearchCV in sklearn.html	8.3 KB
10. Practical Advice for K-Fold in sklearn.html	8.3 KB
06. Where to use training vs. testing data 3.html	8.8 KB
17. Your First (Overfit) POI Identifier.html	8.8 KB
04. Where to use training vs. testing data 1.html	8.8 KB
07. Where to use training vs. testing data 4.html	8.8 KB
12. GridSearchCV in sklearn.html	9.0 KB
05. Where to use training vs. testing data 2.html	9.0 KB
02. Benefits of Testing.html	9.3 KB
08. K-Fold Cross Validation.html	9.5 KB
03. TrainTest Split in sklearn.html	10.3 KB
/Part 16-Module 01-Lesson 08_Outliers/
06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.zh-CN.vtt	0.3 KB
06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.pt-BR.vtt	0.4 KB
06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.en.vtt	0.4 KB
06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.en-US.vtt	0.4 KB
06. Effect of Outlier Removal on Regression-WDADret_QqE.zh-CN.vtt	0.4 KB
05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.zh-CN.vtt	0.4 KB
06. Effect of Outlier Removal on Regression-WDADret_QqE.pt-BR.vtt	0.4 KB
06. Effect of Outlier Removal on Regression-WDADret_QqE.en.vtt	0.5 KB
05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.en.vtt	0.5 KB
05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.pt-BR.vtt	0.5 KB
06. Effect of Outlier Removal on Regression-iEvYp4hL6OY.ar.vtt	0.5 KB
05. Outlier Detection Using Residual Errors-ZlDdxWYv6jw.ar.vtt	0.6 KB
02. What Causes Outliers-W74CdB_pl5M.zh-CN.vtt	0.6 KB
06. Effect of Outlier Removal on Regression-WDADret_QqE.ar.vtt	0.7 KB
02. What Causes Outliers-W74CdB_pl5M.pt-BR.vtt	0.7 KB
05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.zh-CN.vtt	0.7 KB
02. What Causes Outliers-W74CdB_pl5M.en.vtt	0.7 KB
01. Outliers in Regression-_IetITlJpIs.zh-CN.vtt	0.8 KB
03. Outlier Selection-zTI5Ci5WWzM.pt-BR.vtt	0.8 KB
03. Outlier Selection-zTI5Ci5WWzM.zh-CN.vtt	0.8 KB
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05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.en.vtt	0.9 KB
01. Outliers in Regression-_IetITlJpIs.pt-BR.vtt	0.9 KB
01. Outliers in Regression-_IetITlJpIs.en.vtt	0.9 KB
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05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.pt-BR.vtt	0.9 KB
02. What Causes Outliers-W74CdB_pl5M.ar.vtt	1.0 KB
03. Outlier Selection-zTI5Ci5WWzM.ar.vtt	1.1 KB
01. Outliers in Regression-_IetITlJpIs.ar.vtt	1.2 KB
05. Outlier Detection Using Residual Errors-ujpjeaxE6GU.ar.vtt	1.2 KB
07. Summary of Outlier Removal Strategy-b-oE175NJiQ.zh-CN.vtt	1.3 KB
03. Outlier Selection-rNR4_JqCEuk.zh-CN.vtt	1.3 KB
03. Outlier Selection-rNR4_JqCEuk.en.vtt	1.3 KB
08. Outliers Mini-Project Video-GRN0Whyy4Lk.zh-CN.vtt	1.3 KB
03. Outlier Selection-rNR4_JqCEuk.pt-BR.vtt	1.4 KB
07. Summary of Outlier Removal Strategy-b-oE175NJiQ.en.vtt	1.4 KB
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07. Summary of Outlier Removal Strategy-b-oE175NJiQ.pt-BR.vtt	1.4 KB
08. Outliers Mini-Project Video-GRN0Whyy4Lk.en.vtt	1.5 KB
08. Outliers Mini-Project Video-GRN0Whyy4Lk.pt-BR.vtt	1.6 KB
04. Outlier DetectionRemoval Algorithm-hGKY6BAqJ6o.zh-CN.vtt	1.8 KB
02. What Causes Outliers-djTM5fADIVs.zh-CN.vtt	1.8 KB
01. Outliers in Regression-hxxa0KAkB1o.zh-CN.vtt	1.8 KB
02. What Causes Outliers-djTM5fADIVs.pt-BR.vtt	1.9 KB
03. Outlier Selection-rNR4_JqCEuk.ar.vtt	1.9 KB
07. Summary of Outlier Removal Strategy-b-oE175NJiQ.ar.vtt	2.0 KB
02. What Causes Outliers-djTM5fADIVs.en.vtt	2.0 KB
01. Outliers in Regression-hxxa0KAkB1o.en.vtt	2.0 KB
04. Outlier DetectionRemoval Algorithm-hGKY6BAqJ6o.en.vtt	2.1 KB
01. Outliers in Regression-hxxa0KAkB1o.pt-BR.vtt	2.1 KB
08. Outliers Mini-Project Video-GRN0Whyy4Lk.ar.vtt	2.1 KB
04. Outlier DetectionRemoval Algorithm-hGKY6BAqJ6o.pt-BR.vtt	2.1 KB
01. Outliers in Regression-hxxa0KAkB1o.ar.vtt	2.7 KB
02. What Causes Outliers-djTM5fADIVs.ar.vtt	2.8 KB
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index.html	5.2 KB
09. Outliers Mini-Project.html	7.1 KB
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04. Outlier DetectionRemoval Algorithm.html	7.2 KB
11. Score of Regression with Outliers.html	7.2 KB
07. Summary of Outlier Removal Strategy.html	7.3 KB
15. Identify the Biggest Enron Outlier.html	7.5 KB
16. Remove Enron Outlier.html	7.6 KB
18. Identifying Two More Outliers.html	7.7 KB
19. Remove These Outliers.html	7.7 KB
17. Any More Outliers.html	7.8 KB
10. Slope of Regression with Outliers.html	8.0 KB
14. Enron Outliers.html	8.0 KB
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06. Effect of Outlier Removal on Regression.html	9.1 KB
02. What Causes Outliers.html	9.2 KB
03. Outlier Selection.html	9.8 KB
/Part 07-Module 01-Lesson 05_Explore Two Variables/
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/Part 07-Module 01-Lesson 03_Explore One Variable/
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16. Statistics 'by' Gender-VkQwfVQ00EQ.pt-BR.vtt	1.8 KB
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10. Moira's Outlier-Oyo2HOJstCs.ar.vtt	2.2 KB
23. Add a Scaling Layer-SsNYXdi3q-I.en.vtt	2.2 KB
18. Labeling Plots-llvIDIu3Sw8.pt-BR.vtt	2.2 KB
17. Tenure-jKZAcZw9xLA.en.vtt	2.2 KB
24. Frequency Polygons-bDRGbJP7YMY.zh-CN.vtt	2.3 KB
14. Adjusting the Bin Width-AY5nywPa3GI.en.vtt	2.3 KB
26. Box Plots-Hk26Zn3xQEY.zh-CN.vtt	2.3 KB
23. Add a Scaling Layer-SsNYXdi3q-I.pt-BR.vtt	2.3 KB
16. Statistics 'by' Gender-GTLvqNrAETc.ar.vtt	2.3 KB
11. Friend Count-GsSoLVhZPnA.ar.vtt	2.4 KB
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17. Tenure-jKZAcZw9xLA.pt-BR.vtt	2.4 KB
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24. Frequency Polygons-bDRGbJP7YMY.ja.vtt	2.5 KB
26. Box Plots-Hk26Zn3xQEY.pt-BR.vtt	2.5 KB
28. Getting Logical-52o_ZtwFuXE.ar.vtt	2.5 KB
24. Frequency Polygons-bDRGbJP7YMY.en.vtt	2.5 KB
26. Box Plots-Hk26Zn3xQEY.en-US.vtt	2.6 KB
26. Box Plots-Hk26Zn3xQEY.en.vtt	2.6 KB
24. Frequency Polygons-bDRGbJP7YMY.pt-BR.vtt	2.6 KB
19. User Ages-Gl6anQql914.zh-CN.vtt	2.6 KB
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18. Labeling Plots-llvIDIu3Sw8.ar.vtt	2.8 KB
27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.zh-CN.vtt	2.8 KB
19. User Ages-Gl6anQql914.ja.vtt	2.9 KB
12. Limiting the Axes-1W3QAzrybMk.ar.vtt	2.9 KB
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08. Faceting-in2hLEl_eJU.zh-CN.vtt	2.9 KB
19. User Ages-Gl6anQql914.en.vtt	2.9 KB
27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.ja.vtt	2.9 KB
03. Pseudo-Facebook User Data-8FD_iOP24UA.zh-CN.vtt	3.0 KB
23. Add a Scaling Layer-SsNYXdi3q-I.ar.vtt	3.0 KB
17. Tenure-jKZAcZw9xLA.ar.vtt	3.0 KB
28. Getting Logical-TjY0Q66Yh-s.ja.vtt	3.1 KB
14. Adjusting the Bin Width-AY5nywPa3GI.ar.vtt	3.1 KB
27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.en.vtt	3.1 KB
04. Histogram of Users' Birthdays-20aUUbuzALM.en.vtt	3.1 KB
19. User Ages-Gl6anQql914.pt-BR.vtt	3.1 KB
24. Frequency Polygons-bDRGbJP7YMY.ar.vtt	3.1 KB
08. Faceting-in2hLEl_eJU.ja.vtt	3.1 KB
15. Omitting NA Observations-SdYtgaZ5riY.ar.vtt	3.2 KB
27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.pt-BR.vtt	3.2 KB
03. Pseudo-Facebook User Data-8FD_iOP24UA.ja.vtt	3.2 KB
28. Getting Logical-TjY0Q66Yh-s.en.vtt	3.2 KB
04. Histogram of Users' Birthdays-20aUUbuzALM.pt-BR.vtt	3.3 KB
03. Pseudo-Facebook User Data-8FD_iOP24UA.en.vtt	3.3 KB
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08. Faceting-in2hLEl_eJU.en.vtt	3.4 KB
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26. Box Plots-Hk26Zn3xQEY.ar.vtt	3.6 KB
27. Box Plots, Quartiles, and Friendships-CPDMSJEH16s.ja.vtt	3.6 KB
21. Lada's Money Bag Meme-Isa_FGQrvgs.zh-CN.vtt	3.6 KB
26. Box Plots-c-v-Xa_R4SA.ja.vtt	3.6 KB
26. Box Plots-c-v-Xa_R4SA.en.vtt	3.8 KB
26. Box Plots-c-v-Xa_R4SA.en-US.vtt	3.8 KB
27. Box Plots, Quartiles, and Friendships-ykFuZOPCU88.ar.vtt	3.9 KB
27. Box Plots, Quartiles, and Friendships-CPDMSJEH16s.en.vtt	3.9 KB
26. Box Plots-c-v-Xa_R4SA.pt-BR.vtt	4.0 KB
27. Box Plots, Quartiles, and Friendships-CPDMSJEH16s.pt-BR.vtt	4.0 KB
21. Lada's Money Bag Meme-Isa_FGQrvgs.ja.vtt	4.1 KB
21. Lada's Money Bag Meme-Isa_FGQrvgs.en.vtt	4.1 KB
22. Transforming Data-0L3Obq4FSVQ.zh-CN.vtt	4.2 KB
19. User Ages-Gl6anQql914.ar.vtt	4.2 KB
21. Lada's Money Bag Meme-Isa_FGQrvgs.pt-BR.vtt	4.2 KB
04. Histogram of Users' Birthdays-20aUUbuzALM.ar.vtt	4.3 KB
03. Pseudo-Facebook User Data-8FD_iOP24UA.ar.vtt	4.3 KB
22. Transforming Data-0L3Obq4FSVQ.ja.vtt	4.5 KB
08. Faceting-in2hLEl_eJU.ar.vtt	4.5 KB
22. Transforming Data-5571wc0iWCI.zh-CN.vtt	4.6 KB
22. Transforming Data-0L3Obq4FSVQ.en.vtt	4.7 KB
28. Getting Logical-TjY0Q66Yh-s.ar.vtt	4.8 KB
22. Transforming Data-0L3Obq4FSVQ.pt-BR.vtt	4.8 KB
22. Transforming Data-5571wc0iWCI.pt-BR.vtt	5.1 KB
24. Frequency Polygons-v4UGBUB6jO4.zh-CN.vtt	5.1 KB
22. Transforming Data-5571wc0iWCI.ja.vtt	5.1 KB
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27. Box Plots, Quartiles, and Friendships-CPDMSJEH16s.ar.vtt	5.3 KB
22. Transforming Data-5571wc0iWCI.en.vtt	5.3 KB
21. Lada's Money Bag Meme-Isa_FGQrvgs.ar.vtt	5.3 KB
24. Frequency Polygons-v4UGBUB6jO4.ja.vtt	5.5 KB
24. Frequency Polygons-v4UGBUB6jO4.en.vtt	5.6 KB
index.html	5.9 KB
24. Frequency Polygons-v4UGBUB6jO4.pt-BR.vtt	6.1 KB
22. Transforming Data-0L3Obq4FSVQ.ar.vtt	6.5 KB
22. Transforming Data-5571wc0iWCI.ar.vtt	7.5 KB
02. What to Do First.html	8.0 KB
20. The Spread of Memes.html	8.0 KB
24. Frequency Polygons-v4UGBUB6jO4.ar.vtt	8.0 KB
23. Add a Scaling Layer.html	8.3 KB
21. Lada's Money Bag Meme.html	8.3 KB
18. Labeling Plots.html	8.4 KB
13. Exploring with Bin Width.html	8.5 KB
05. Moira's Investigation.html	8.5 KB
12. Limiting the Axes.html	8.5 KB
09. Be Skeptical of Outliers and Anomalies.html	8.6 KB
07. Perceived Audience Size.html	8.6 KB
01. Welcome!.html	8.7 KB
15. Omitting NA Observations.html	8.7 KB
03. Pseudo-Facebook User Data.html	9.0 KB
06. Estimating Your Audience Size.html	9.3 KB
29. Analyzing One Variable.html	9.5 KB
19. User Ages.html	10.0 KB
08. Faceting.html	10.1 KB
28. Getting Logical.html	10.1 KB
25. Likes on the Web.html	10.1 KB
16. Statistics 'by' Gender.html	10.3 KB
10. Moira's Outlier.html	10.4 KB
11. Friend Count.html	10.4 KB
17. Tenure.html	10.5 KB
26. Box Plots.html	10.6 KB
24. Frequency Polygons.html	10.7 KB
22. Transforming Data.html	10.8 KB
14. Adjusting the Bin Width.html	10.8 KB
27. Box Plots, Quartiles, and Friendships.html	10.9 KB
04. Histogram of Users' Birthdays.html	11.8 KB
/Part 12-Module 01-Lesson 01_GitHub Review/
05. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt	0.4 KB
05. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt	0.4 KB
15. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt	0.4 KB
07. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt	0.4 KB
15. Starring interesting repositories-U3FUxkm1MxI.en.vtt	0.4 KB
07. Quick Fixes #2-It6AEuSDQw0.en.vtt	0.4 KB
12. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt	0.4 KB
07. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt	0.5 KB
05. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt	0.5 KB
15. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt	0.5 KB
11. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt	0.5 KB
12. Participating in open source projects-OxL-gMTizUA.en.vtt	0.5 KB
05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt	0.5 KB
11. Reflect on your commit messages-_0AHmKkfjTo.en.vtt	0.5 KB
11. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt	0.5 KB
15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt	0.5 KB
12. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt	0.6 KB
15. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt	0.6 KB
07. Quick Fixes #2-It6AEuSDQw0.ar.vtt	0.6 KB
15. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt	0.6 KB
11. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt	0.7 KB
15. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt	0.7 KB
16. Outro-dps7Ti6Lado.zh-CN.vtt	0.7 KB
12. Participating in open source projects-OxL-gMTizUA.ar.vtt	0.8 KB
16. Outro-dps7Ti6Lado.en.vtt	0.8 KB
15. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt	0.8 KB
16. Outro-dps7Ti6Lado.pt-BR.vtt	1.0 KB
08. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt	1.2 KB
08. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt	1.3 KB
14. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt	1.3 KB
05. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt	1.3 KB
08. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt	1.4 KB
05. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt	1.4 KB
14. Participating in open source projects 2-elZCLxVvJrY.en.vtt	1.5 KB
05. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt	1.5 KB
08. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt	1.5 KB
01. Introduction-Vnj2VNQROtI.en.vtt	1.6 KB
01. Introduction-Vnj2VNQROtI.zh-CN.vtt	1.7 KB
14. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt	1.7 KB
01. Introduction-Vnj2VNQROtI.pt-BR.vtt	1.8 KB
06. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt	1.9 KB
06. Quick Fixes-Lb9e2KemR6I.en.vtt	1.9 KB
03. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt	2.0 KB
03. Good GitHub repository-qBi8Q1EJdfQ.en.vtt	2.0 KB
05. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt	2.0 KB
06. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt	2.1 KB
03. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt	2.1 KB
09. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt	2.1 KB
09. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt	2.2 KB
14. Participating in open source projects 2-elZCLxVvJrY.ar.vtt	2.2 KB
01. Introduction-Vnj2VNQROtI.ar.vtt	2.3 KB
09. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt	2.5 KB
03. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt	2.6 KB
06. Quick Fixes-Lb9e2KemR6I.ar.vtt	2.7 KB
02. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt	2.7 KB
09. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt	2.9 KB
02. GitHub profile important items-prvPVTjVkwQ.en.vtt	3.0 KB
02. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt	3.2 KB
04. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt	3.5 KB
13. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt	3.8 KB
04. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt	3.9 KB
02. GitHub profile important items-prvPVTjVkwQ.ar.vtt	4.0 KB
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13. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt	4.2 KB
13. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt	4.7 KB
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index.html	5.3 KB
13. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt	5.5 KB
06. Quick Fixes #1.html	7.1 KB
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09. Interview with Art - Part 2.html	7.2 KB
13. Interview with Art - Part 3.html	7.2 KB
04. Interview with Art - Part 1.html	7.2 KB
16. Outro.html	7.2 KB
14. Participating in open source projects 2.html	7.3 KB
08. Writing READMEs with Walter.html	7.5 KB
01. Introduction.html	7.5 KB
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17. Resources in Your Career Portal.html	8.2 KB
Project Description - Optimize Your GitHub Profile.html	8.4 KB
15. Starring interesting repositories.html	8.6 KB
Project Rubric - Optimize Your GitHub Profile.html	9.2 KB
10. Commit messages best practices.html	9.6 KB
05. Identify fixes for example “bad” profile.html	10.1 KB
/Part 03-Module 02-Lesson 02_Data Analysis Process - Case Study 1/
08. Troubleshooting With Appending-KwtjTmDMZGE.zh-CN.vtt	0.4 KB
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21. Conclusion-UFwgr6tLcuI.zh-CN.vtt	0.6 KB
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21. Conclusion-UFwgr6tLcuI.pt-BR.vtt	0.8 KB
01. Lesson Overview-DkjRzNwjSfo.zh-CN.vtt	0.8 KB
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21. Conclusion-UFwgr6tLcuI.ar.vtt	0.9 KB
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02. Data Overview-V-iPdJfrscQ.zh-CN.vtt	1.1 KB
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17. Type And Quality Plot - Part 2-Ui1rF6McOBA.zh-CN.vtt	2.2 KB
04. Gathering Data-r7BHGq_0P9Q.pt-BR.vtt	2.2 KB
17. Type And Quality Plot - Part 2-Ui1rF6McOBA.en.vtt	2.3 KB
17. Type And Quality Plot - Part 2-Ui1rF6McOBA.pt-BR.vtt	2.4 KB
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04. Gathering Data-r7BHGq_0P9Q.ar.vtt	2.7 KB
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16. Type And Quality Plot - Part 1-iRCS1sE78KI.zh-CN.vtt	2.9 KB
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16. Type And Quality Plot - Part 1-iRCS1sE78KI.ar.vtt	3.8 KB
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12. Pandas Groupby.html	7.4 KB
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14. Pandas Query.html	7.5 KB
16. Type Quality Plot - Part 1.html	7.5 KB
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10. Appending Data (cont.).html	9.7 KB
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/Part 18-Module 01-Lesson 02_Data Types and Operators/
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38. Conclusion-LLEZadlXM8A.en.vtt	0.4 KB
38. Conclusion-LLEZadlXM8A.ar.vtt	0.5 KB
35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.zh-CN.vtt	1.1 KB
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25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.zh-CN.vtt	3.9 KB
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08. Números inteiros e floats-MiJ1vfWp-Ts.zh-CN.vtt	4.4 KB
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13. Strings-ySZDrs-nNqg.ar.vtt	7.4 KB
18. Solution Type and Type Conversion.html	9.3 KB
38. Conclusion.html	9.3 KB
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29. Sets.html	10.8 KB
27. Tuples.html	10.9 KB
21. Another String Method - Split.html	10.9 KB
35. Compound Data Structures.html	11.0 KB
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/Part 03-Module 02-Lesson 01_The Data Analysis Process/
22. Drawing Conclusions-Glctk6ahdFU.zh-CN.vtt	0.4 KB
25. Communicating Results-tmAlVZCbgFA.zh-CN.vtt	0.4 KB
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25. Communicating Results-tmAlVZCbgFA.en.vtt	0.5 KB
16. Cleaning Data-AJF5smH1TJU.zh-CN.vtt	0.5 KB
22. Drawing Conclusions-Glctk6ahdFU.pt-BR.vtt	0.5 KB
16. Cleaning Data-AJF5smH1TJU.en.vtt	0.5 KB
25. Communicating Results-tmAlVZCbgFA.pt-BR.vtt	0.5 KB
22. Drawing Conclusions-Glctk6ahdFU.ar.vtt	0.5 KB
19. Exploring Data With Visuals-0i_9t4Wi0Og.zh-CN.vtt	0.6 KB
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03. Problems Solved by Data Analysts-zbjRiYSSR_Y.zh-CN.vtt	2.6 KB
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20. Plotting With Pandas-kR7KZFqciFE.zh-CN.vtt	3.2 KB
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20. Plotting With Pandas-kR7KZFqciFE.en.vtt	3.3 KB
12. Gathering Data-JsVg95-amjI.en.vtt	3.4 KB
12. Gathering Data-JsVg95-amjI.pt-BR.vtt	3.6 KB
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20. Plotting With Pandas-kR7KZFqciFE.pt-BR.vtt	3.7 KB
23. Drawing Conclusions Example-yAl58ccwyvU.ar.vtt	4.0 KB
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17. Cleaning Example-7bnSPYtPDzQ.zh-CN.vtt	7.1 KB
17. Cleaning Example-7bnSPYtPDzQ.en.vtt	7.4 KB
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16. Cleaning Data.html	7.9 KB
17. Cleaning Example.html	7.9 KB
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01. Handoff to Juno Lee.html	8.0 KB
26. Communicating Results Example.html	8.0 KB
12. Gathering Data.html	8.2 KB
09. Asking Questions.html	8.2 KB
05. DAP Overview-qdV4sifMmWI.en.vtt	8.3 KB
13. Reading CSV Files.html	8.4 KB
18. Cleaning Practice.html	8.4 KB
14. Assessing and Building Intuition.html	8.5 KB
05. DAP Overview-qdV4sifMmWI.pt-BR.vtt	8.6 KB
27. Communicating Results Practice.html	8.8 KB
07. Packages Overview.html	8.8 KB
03. Problems Solved by Data Analysts.html	9.3 KB
04. Setting Up Your Programming Environment.html	9.9 KB
17. Cleaning Example-7bnSPYtPDzQ.ar.vtt	10.3 KB
10. Questions for a Dataset.html	10.5 KB
05. Data Analysis Process Overview.html	10.7 KB
02. Lesson Overview.html	10.7 KB
05. DAP Overview-qdV4sifMmWI.ar.vtt	10.9 KB
21. Exploring Data with Visuals Quiz.html	11.6 KB
08. Packages Overview Quiz.html	14.1 KB
24. Drawing Conclusions Quiz.html	15.1 KB
06. Data Analysis Process Quiz.html	18.6 KB
15. Assessing and Building Intuition Quiz.html	20.3 KB
/Part 16-Module 01-Lesson 12_Feature Selection/
18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.zh-CN.vtt	0.4 KB
18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.pt-BR.vtt	0.5 KB
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18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.en.vtt	0.5 KB
17. Lasso Code Quiz-PlFG87qPSB4.zh-CN.vtt	0.5 KB
18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.en.vtt	0.6 KB
18. Lasso Prediction with sklearn Quiz-v2_aFAmQxfw.ar.vtt	0.6 KB
05. Beware of Feature Bugs!-UjaFiRdHPZg.zh-CN.vtt	0.6 KB
18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.pt-BR.vtt	0.7 KB
11. Bias, Variance, and Number of Features-mpYpT6nZVEo.zh-CN.vtt	0.7 KB
20. Using Lasso in sklearn Quiz-xYxD4GD1woo.zh-CN.vtt	0.7 KB
20. Using Lasso in sklearn Quiz-IC47yHGmgMk.zh-CN.vtt	0.7 KB
17. Lasso Code Quiz-PlFG87qPSB4.en.vtt	0.7 KB
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11. Bias, Variance, and Number of Features-mpYpT6nZVEo.en.vtt	0.8 KB
20. Using Lasso in sklearn Quiz-IC47yHGmgMk.pt-BR.vtt	0.8 KB
20. Using Lasso in sklearn Quiz-IC47yHGmgMk.en.vtt	0.8 KB
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11. Bias, Variance, and Number of Features-mpYpT6nZVEo.pt-BR.vtt	0.8 KB
19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.zh-CN.vtt	0.9 KB
12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.zh-CN.vtt	0.9 KB
07. Getting Rid of Features-JZx1Pyzuo_s.zh-CN.vtt	0.9 KB
18. Lasso Prediction with sklearn Quiz-Xrl2Hd--NWs.ar.vtt	0.9 KB
12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.pt-BR.vtt	1.0 KB
05. Beware of Feature Bugs!-UjaFiRdHPZg.ar.vtt	1.0 KB
17. Lasso Code Quiz-PlFG87qPSB4.ar.vtt	1.0 KB
04. Visualizing Your New Feature-Tp5WCAJiCRY.zh-CN.vtt	1.0 KB
07. Getting Rid of Features-JZx1Pyzuo_s.en.vtt	1.0 KB
20. Using Lasso in sklearn Quiz-IC47yHGmgMk.ar.vtt	1.0 KB
19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.pt-BR.vtt	1.0 KB
11. Bias, Variance, and Number of Features-mpYpT6nZVEo.ar.vtt	1.0 KB
20. Using Lasso in sklearn Quiz-xYxD4GD1woo.ar.vtt	1.0 KB
12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.en.vtt	1.0 KB
07. Getting Rid of Features-JZx1Pyzuo_s.pt-BR.vtt	1.1 KB
19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.en.vtt	1.1 KB
03. A New Enron Feature Quiz-Nmf80xB1DN0.zh-CN.vtt	1.3 KB
04. Visualizing Your New Feature-Ilu1JjjAbwA.zh-CN.vtt	1.3 KB
04. Visualizing Your New Feature-Tp5WCAJiCRY.en.vtt	1.3 KB
04. Visualizing Your New Feature-Tp5WCAJiCRY.pt-BR.vtt	1.3 KB
19. Lasso Coefficients with sklearn Quiz-7HMAtB-342I.zh-CN.vtt	1.3 KB
08. Features != Information-GOrv8faKHV4.zh-CN.vtt	1.3 KB
01. Why Feature Selection-S-xe0-XNo4I.zh-CN.vtt	1.4 KB
07. Getting Rid of Features-JZx1Pyzuo_s.ar.vtt	1.4 KB
12. Bias, Variance Number of Features Pt 2-1lNAvDubBfI.ar.vtt	1.4 KB
03. A New Enron Feature Quiz-Nmf80xB1DN0.en.vtt	1.4 KB
03. A New Enron Feature Quiz-Nmf80xB1DN0.pt-BR.vtt	1.5 KB
19. Lasso Coefficients with sklearn Quiz-nu2OKJwDvvE.ar.vtt	1.5 KB
19. Lasso Coefficients with sklearn Quiz-7HMAtB-342I.en.vtt	1.5 KB
08. Features != Information-GOrv8faKHV4.pt-BR.vtt	1.5 KB
19. Lasso Coefficients with sklearn Quiz-7HMAtB-342I.pt-BR.vtt	1.5 KB
12. Bias, Variance Number of Features Pt 2-X_AS8NBngsk.zh-CN.vtt	1.5 KB
01. Why Feature Selection-S-xe0-XNo4I.pt-BR.vtt	1.5 KB
04. Visualizing Your New Feature-Ilu1JjjAbwA.en.vtt	1.6 KB
01. Why Feature Selection-S-xe0-XNo4I.en.vtt	1.6 KB
21. Feature Selection Mini-Project Video-sJzKx_FiMXA.zh-CN.vtt	1.6 KB
08. Features != Information-GOrv8faKHV4.en.vtt	1.6 KB
04. Visualizing Your New Feature-Ilu1JjjAbwA.pt-BR.vtt	1.7 KB
02. A New Enron Feature-m2-LkgEfLO0.zh-CN.vtt	1.7 KB
10. Feature Selection in TfIdf Vectorizer-oZkDSuhBEkE.zh-CN.vtt	1.7 KB
04. Visualizing Your New Feature-Tp5WCAJiCRY.ar.vtt	1.7 KB
12. Bias, Variance Number of Features Pt 2-X_AS8NBngsk.en.vtt	1.8 KB
21. Feature Selection Mini-Project Video-sJzKx_FiMXA.en.vtt	1.9 KB
12. Bias, Variance Number of Features Pt 2-X_AS8NBngsk.pt-BR.vtt	1.9 KB
21. Feature Selection Mini-Project Video-sJzKx_FiMXA.pt-BR.vtt	1.9 KB
17. Lasso Code Quiz-FT0dM2um34E.zh-CN.vtt	1.9 KB
10. Feature Selection in TfIdf Vectorizer-oZkDSuhBEkE.pt-BR.vtt	1.9 KB
19. Lasso Coefficients with sklearn Quiz-7HMAtB-342I.ar.vtt	1.9 KB
03. A New Enron Feature Quiz-eAKVYAR_VlY.zh-CN.vtt	2.0 KB
02. A New Enron Feature-m2-LkgEfLO0.en.vtt	2.0 KB
03. A New Enron Feature Quiz-Nmf80xB1DN0.ar.vtt	2.0 KB
04. Visualizing Your New Feature-Ilu1JjjAbwA.ar.vtt	2.0 KB
13. Overfitting by Eye-sJgPnuiHrs8.zh-CN.vtt	2.1 KB
02. A New Enron Feature-m2-LkgEfLO0.pt-BR.vtt	2.1 KB
10. Feature Selection in TfIdf Vectorizer-oZkDSuhBEkE.en.vtt	2.1 KB
08. Features != Information-GOrv8faKHV4.ar.vtt	2.1 KB
01. Why Feature Selection-S-xe0-XNo4I.ar.vtt	2.1 KB
07. Getting Rid of Features-VYwgHHqaUII.zh-CN.vtt	2.3 KB
17. Lasso Code Quiz-FT0dM2um34E.en.vtt	2.3 KB
17. Lasso Code Quiz-FT0dM2um34E.pt-BR.vtt	2.3 KB
16. Lasso Regression-qU1_cj4LfLY.zh-CN.vtt	2.4 KB
21. Feature Selection Mini-Project Video-sJzKx_FiMXA.ar.vtt	2.4 KB
03. A New Enron Feature Quiz-eAKVYAR_VlY.en.vtt	2.5 KB
12. Bias, Variance Number of Features Pt 2-X_AS8NBngsk.ar.vtt	2.5 KB
13. Overfitting by Eye-sJgPnuiHrs8.pt-BR.vtt	2.5 KB
13. Overfitting by Eye-sJgPnuiHrs8.en.vtt	2.6 KB
03. A New Enron Feature Quiz-eAKVYAR_VlY.pt-BR.vtt	2.6 KB
11. Bias, Variance, and Number of Features-OurfO1ZR2GU.zh-CN.vtt	2.7 KB
10. Feature Selection in TfIdf Vectorizer-oZkDSuhBEkE.ar.vtt	2.7 KB
07. Getting Rid of Features-VYwgHHqaUII.en.vtt	2.7 KB
16. Lasso Regression-qU1_cj4LfLY.pt-BR.vtt	2.7 KB
02. A New Enron Feature-m2-LkgEfLO0.ar.vtt	2.7 KB
15. Regularization-l9V5tlIWTvs.zh-CN.vtt	2.8 KB
07. Getting Rid of Features-VYwgHHqaUII.pt-BR.vtt	2.8 KB
16. Lasso Regression-qU1_cj4LfLY.en.vtt	2.9 KB
11. Bias, Variance, and Number of Features-OurfO1ZR2GU.en.vtt	3.1 KB
17. Lasso Code Quiz-FT0dM2um34E.ar.vtt	3.2 KB
03. A New Enron Feature Quiz-eAKVYAR_VlY.ar.vtt	3.3 KB
07. Getting Rid of Features-VYwgHHqaUII.ar.vtt	3.4 KB
11. Bias, Variance, and Number of Features-OurfO1ZR2GU.pt-BR.vtt	3.4 KB
13. Overfitting by Eye-sJgPnuiHrs8.ar.vtt	3.4 KB
14. Balancing Error with Number of Features-IwiIFMcDwoA.zh-CN.vtt	3.4 KB
15. Regularization-l9V5tlIWTvs.pt-BR.vtt	3.7 KB
15. Regularization-l9V5tlIWTvs.en.vtt	3.7 KB
16. Lasso Regression-qU1_cj4LfLY.ar.vtt	3.8 KB
14. Balancing Error with Number of Features-IwiIFMcDwoA.pt-BR.vtt	3.9 KB
14. Balancing Error with Number of Features-IwiIFMcDwoA.en.vtt	4.2 KB
11. Bias, Variance, and Number of Features-OurfO1ZR2GU.ar.vtt	4.4 KB
10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.zh-CN.vtt	4.7 KB
15. Regularization-l9V5tlIWTvs.ar.vtt	4.8 KB
14. Balancing Error with Number of Features-IwiIFMcDwoA.ar.vtt	5.5 KB
10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.pt-BR.vtt	5.7 KB
10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.en.vtt	5.8 KB
10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.en-US.vtt	5.8 KB
index.html	6.5 KB
10. Feature Selection in TfIdf Vectorizer-GdsLRKjjKLw.ar.vtt	7.9 KB
22. Feature Selection Mini-Project.html	8.6 KB
15. Regularization.html	8.6 KB
16. Lasso Regression.html	8.6 KB
13. Overfitting by Eye.html	8.6 KB
02. A New Enron Feature.html	8.6 KB
01. Why Feature Selection.html	8.6 KB
05. Beware of Feature Bugs!.html	8.6 KB
08. Features != Information.html	8.7 KB
21. Feature Selection Mini-Project Video.html	8.8 KB
14. Balancing Error with Number of Features.html	8.8 KB
26. Accuracy of Your Overfit Decision Tree.html	8.8 KB
24. Overfitting a Decision Tree 2.html	8.9 KB
31. Accuracy of the Overfit Tree.html	9.0 KB
09. Univariate Feature Selection.html	9.0 KB
23. Overfitting a Decision Tree 1.html	9.2 KB
28. Use TfIdf to Get the Most Important Word.html	9.4 KB
30. Checking Important Features Again.html	9.6 KB
29. Remove, Repeat.html	9.6 KB
06. Example Buggy Feature.html	9.8 KB
25. Number of Features and Overfitting.html	9.9 KB
27. Identify the Most Powerful Features.html	10.0 KB
17. Lasso Code Quiz.html	10.1 KB
18. Lasso Prediction with sklearn Quiz.html	10.1 KB
19. Lasso Coefficients with sklearn Quiz.html	10.1 KB
11. Bias, Variance, and Number of Features.html	10.3 KB
12. Bias, Variance Number of Features Pt 2.html	10.3 KB
20. Using Lasso in sklearn Quiz.html	10.4 KB
10. Feature Selection in TfIdf Vectorizer.html	10.6 KB
07. Getting Rid of Features.html	10.8 KB
03. A New Enron Feature Quiz.html	14.3 KB
/Part 18-Module 01-Lesson 03_Control Flow/
34. Congrats!-vDoqpwCHxs4.zh-CN.vtt	0.4 KB
34. Congrats!-vDoqpwCHxs4.en.vtt	0.5 KB
34. Congrats!-vDoqpwCHxs4.pt-BR.vtt	0.6 KB
34. Congrats!-vDoqpwCHxs4.ar.vtt	0.7 KB
01. Introduction-eUrvACMMJ5w.zh-CN.vtt	0.9 KB
01. Introduction-eUrvACMMJ5w.en.vtt	0.9 KB
02. Indentation-G8qUNOTHtrM.zh-CN.vtt	1.0 KB
01. Introduction-eUrvACMMJ5w.pt-BR.vtt	1.1 KB
02. Indentation-G8qUNOTHtrM.en.vtt	1.1 KB
02. Indentation-G8qUNOTHtrM.pt-BR.vtt	1.3 KB
01. Introduction-eUrvACMMJ5w.ar.vtt	1.4 KB
02. Indentation-G8qUNOTHtrM.ar.vtt	1.6 KB
07. Truth Value Testing-e52uw7ejV8k.zh-CN.vtt	1.6 KB
07. Truth Value Testing-e52uw7ejV8k.en.vtt	1.8 KB
07. Truth Value Testing-e52uw7ejV8k.pt-BR.vtt	2.1 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.zh-CN.vtt	2.2 KB
02. If Statements-jWiIUMrwPqA.zh-CN.vtt	2.4 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.en.vtt	2.4 KB
28. Zip and Enumerate-bSJPzVArE7M.zh-CN.vtt	2.4 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.pt-BR.vtt	2.5 KB
02. If Elif and Else-KZubH5XT0eU.zh-CN.vtt	2.6 KB
28. Zip and Enumerate-bSJPzVArE7M.en.vtt	2.6 KB
07. Good And Bad Examples-95oLh3WtdhY.zh-CN.vtt	2.6 KB
28. Zip and Enumerate-bSJPzVArE7M.pt-BR.vtt	2.7 KB
07. Truth Value Testing-e52uw7ejV8k.ar.vtt	2.7 KB
02. If Statements-jWiIUMrwPqA.en.vtt	2.8 KB
20. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt	2.9 KB
02. If Elif and Else-KZubH5XT0eU.en.vtt	2.9 KB
31. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt	3.0 KB
07. Good And Bad Examples-95oLh3WtdhY.en.vtt	3.0 KB
31. List Comprehensions-6qxo-NV9v_s.en.vtt	3.0 KB
20. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt	3.1 KB
02. If Statements-jWiIUMrwPqA.pt-BR.vtt	3.2 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.ar.vtt	3.2 KB
02. If Elif and Else-KZubH5XT0eU.pt-BR.vtt	3.3 KB
07. Good And Bad Examples-95oLh3WtdhY.pt-BR.vtt	3.4 KB
20. L3 08 While Loops V3-7Sf5tcPlKQw.pt-BR.vtt	3.5 KB
31. List Comprehensions-6qxo-NV9v_s.pt-BR.vtt	3.6 KB
28. Zip and Enumerate-bSJPzVArE7M.ar.vtt	3.7 KB
25. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt	3.7 KB
25. Break and Continue-F6qJAv9ts9Y.en.vtt	4.0 KB
02. If Statements-jWiIUMrwPqA.ar.vtt	4.1 KB
02. If Elif and Else-KZubH5XT0eU.ar.vtt	4.2 KB
31. List Comprehensions-6qxo-NV9v_s.ar.vtt	4.2 KB
07. Good And Bad Examples-95oLh3WtdhY.ar.vtt	4.2 KB
25. Break and Continue-F6qJAv9ts9Y.pt-BR.vtt	4.5 KB
25. Break and Continue-F6qJAv9ts9Y.ar.vtt	6.0 KB
10. For Loops-UtX0PXSUCdY.zh-CN.vtt	6.3 KB
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10. For Loops-UtX0PXSUCdY.en.vtt	6.9 KB
10. For Loops-UtX0PXSUCdY.pt-BR.vtt	7.5 KB
34. Conclusion.html	8.7 KB
27. Solution Break, Continue.html	9.0 KB
12. Solution For Loops Practice.html	9.1 KB
01. Introduction.html	9.2 KB
22. Solution While Loops Practice.html	9.3 KB
19. Solution Iterating Through Dictionaries.html	9.5 KB
06. Solution Conditional Statements.html	9.8 KB
33. Solution List Comprehensions.html	9.8 KB
10. For Loops-UtX0PXSUCdY.ar.vtt	10.0 KB
26. Quiz Break, Continue.html	10.0 KB
24. Solution While Loops Quiz.html	10.2 KB
04. Solution Conditional Statements.html	10.2 KB
03. Practice Conditional Statements.html	10.4 KB
14. Solution For Loops Quiz.html	10.5 KB
20. While Loops.html	10.7 KB
31. List Comprehensions.html	10.8 KB
11. Practice For Loops.html	10.8 KB
28. Zip and Enumerate.html	10.9 KB
30. Solution Zip and Enumerate.html	11.2 KB
21. Practice While Loops.html	11.4 KB
09. Solution Boolean Expressions for Conditions.html	11.5 KB
17. Iterating Through Dictionaries with For Loops.html	11.6 KB
32. Quiz List Comprehensions.html	11.7 KB
25. Break, Continue.html	12.1 KB
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15. Quiz Match Inputs To Outputs.html	13.3 KB
16. Building Dictionaries.html	13.9 KB
18. Quiz Iterating Through Dictionaries.html	14.2 KB
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29. Quiz Zip and Enumerate.html	14.6 KB
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13. Quiz For Loops.html	16.7 KB
02. Conditional Statements.html	16.9 KB
08. Quiz Boolean Expressions for Conditions.html	17.3 KB
/Part 09-Module 01-Lesson 02_Design/
22. Onwards!-i-ulsdVHhCc.zh-CN.vtt	0.4 KB
22. Onwards!-i-ulsdVHhCc.pt-BR.vtt	0.5 KB
22. Onwards!-i-ulsdVHhCc.en.vtt	0.5 KB
22. Onwards!-i-ulsdVHhCc.ar.vtt	0.7 KB
01. Introduction-Q0lZkNF6O0g.zh-CN.vtt	1.4 KB
02. Lesson Overview-Gg77PqkQkhs.zh-CN.vtt	1.5 KB
01. Introduction-Q0lZkNF6O0g.en.vtt	1.6 KB
14. Designing for Color Blindness-k4iTzS7t2U4.zh-CN.vtt	1.6 KB
01. Introduction-Q0lZkNF6O0g.pt-BR.vtt	1.6 KB
02. Lesson Overview-Gg77PqkQkhs.en.vtt	1.6 KB
14. Designing for Color Blindness-k4iTzS7t2U4.en.vtt	1.7 KB
14. Designing for Color Blindness-k4iTzS7t2U4.pt-BR.vtt	1.7 KB
19. Same Data Different Stories-jSSnkz3QT5Y.zh-CN.vtt	1.8 KB
18. Tell A Story-_IdOUEhjVGI.zh-CN.vtt	1.8 KB
19. Same Data Different Stories-jSSnkz3QT5Y.en.vtt	1.9 KB
19. Same Data Different Stories-jSSnkz3QT5Y.pt-BR.vtt	1.9 KB
01. Introduction-Q0lZkNF6O0g.ar.vtt	1.9 KB
02. Lesson Overview-Gg77PqkQkhs.pt-BR.vtt	1.9 KB
18. Tell A Story-_IdOUEhjVGI.pt-BR.vtt	1.9 KB
18. Tell A Story-_IdOUEhjVGI.en.vtt	1.9 KB
07. Chart Junk-3BTBEYOG2o8.zh-CN.vtt	2.0 KB
06. What Experts Say About Visual Encodings-98aog0eVcC4.zh-CN.vtt	2.1 KB
02. Lesson Overview-Gg77PqkQkhs.ar.vtt	2.1 KB
07. Chart Junk-3BTBEYOG2o8.en.vtt	2.2 KB
16. General Design Tips-Zq-wMwOfQqY.zh-CN.vtt	2.2 KB
07. Chart Junk-3BTBEYOG2o8.pt-BR.vtt	2.2 KB
06. What Experts Say About Visual Encodings-98aog0eVcC4.en.vtt	2.3 KB
14. Designing for Color Blindness-k4iTzS7t2U4.ar.vtt	2.4 KB
18. Tell A Story-_IdOUEhjVGI.ar.vtt	2.4 KB
16. General Design Tips-Zq-wMwOfQqY.en.vtt	2.4 KB
06. What Experts Say About Visual Encodings-98aog0eVcC4.pt-BR.vtt	2.5 KB
19. Same Data Different Stories-jSSnkz3QT5Y.ar.vtt	2.6 KB
16. General Design Tips-Zq-wMwOfQqY.pt-BR.vtt	2.7 KB
06. What Experts Say About Visual Encodings-98aog0eVcC4.ar.vtt	2.9 KB
07. Chart Junk-3BTBEYOG2o8.ar.vtt	3.0 KB
15. Shape, Size, and other Tools-fzEliHW3ZLM.zh-CN.vtt	3.1 KB
05. What Makes a Bad Visual-zbvB_9f7bFs.zh-CN.vtt	3.2 KB
03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.zh-CN.vtt	3.3 KB
16. General Design Tips-Zq-wMwOfQqY.ar.vtt	3.4 KB
05. What Makes a Bad Visual-zbvB_9f7bFs.en.vtt	3.4 KB
05. What Makes a Bad Visual-zbvB_9f7bFs.pt-BR.vtt	3.4 KB
15. Shape, Size, and other Tools-fzEliHW3ZLM.en.vtt	3.6 KB
03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.en.vtt	3.7 KB
15. Shape, Size, and other Tools-fzEliHW3ZLM.pt-BR.vtt	3.8 KB
09. Design Integrity-y72_fVFtqlY.zh-CN.vtt	3.9 KB
03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.pt-BR.vtt	4.3 KB
09. Design Integrity-y72_fVFtqlY.en.vtt	4.3 KB
13. Using Color-6bAedqD3ilw.zh-CN.vtt	4.3 KB
09. Design Integrity-y72_fVFtqlY.pt-BR.vtt	4.3 KB
05. What Makes a Bad Visual-zbvB_9f7bFs.ar.vtt	4.6 KB
15. Shape, Size, and other Tools-fzEliHW3ZLM.ar.vtt	4.8 KB
13. Using Color-6bAedqD3ilw.en.vtt	4.8 KB
13. Using Color-6bAedqD3ilw.pt-BR.vtt	5.0 KB
08. Data Ink Ratio-gW2FapuYV4A.zh-CN.vtt	5.0 KB
03. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.ar.vtt	5.1 KB
index.html	5.3 KB
09. Design Integrity-y72_fVFtqlY.ar.vtt	5.6 KB
08. Data Ink Ratio-gW2FapuYV4A.en.vtt	5.8 KB
08. Data Ink Ratio-gW2FapuYV4A.pt-BR.vtt	5.8 KB
22. Onwards!.html	7.1 KB
01. Introduction.html	7.1 KB
18. Tell A Story.html	7.4 KB
08. Data Ink Ratio.html	7.5 KB
13. Using Color.html	7.6 KB
12. Text Effective Explanatory Visual Recap.html	7.6 KB
07. Chart Junk.html	7.6 KB
08. Data Ink Ratio-gW2FapuYV4A.ar.vtt	7.7 KB
05. What Makes a Bad Visual.html	7.8 KB
21. Recap.html	7.8 KB
16. General Design Tips.html	7.9 KB
14. Designing for Color Blindness.html	8.0 KB
06. What Experts Say About Visual Encodings.html	8.1 KB
19. Same Data, Different Stories.html	8.3 KB
02. Lesson Overview.html	8.5 KB
03. Exploratory vs. Explanatory Analyses.html	8.7 KB
09. Design Integrity.html	8.9 KB
15. Shape, Size, Other Tools.html	9.6 KB
17. Good Visual.html	10.1 KB
04. Quiz Exploratory vs. Explanatory.html	11.4 KB
10. Bad Visual Quizzes (Part I).html	12.5 KB
11. Bad Visual Quizzes (Part II).html	13.1 KB
20. Quizzes on Data Story Telling.html	15.4 KB
/Part 07-Module 01-Lesson 07_Explore Many Variables/
04. Plotting Conditional Summaries-8SqL0v_FSsc.zh-CN.vtt	0.4 KB
01. Multivariate Data-jsg6lhrJN1g.zh-CN.vtt	0.4 KB
04. Plotting Conditional Summaries-8SqL0v_FSsc.pt-BR.vtt	0.5 KB
01. Multivariate Data-jsg6lhrJN1g.ja.vtt	0.5 KB
04. Plotting Conditional Summaries-8SqL0v_FSsc.en.vtt	0.5 KB
04. Plotting Conditional Summaries-8SqL0v_FSsc.ja.vtt	0.5 KB
01. Multivariate Data-jsg6lhrJN1g.pt-BR.vtt	0.5 KB
01. Multivariate Data-jsg6lhrJN1g.en.vtt	0.5 KB
08. Ratio Plot-gfZ7C-QBF0k.zh-CN.vtt	0.6 KB
08. Ratio Plot-gfZ7C-QBF0k.ja.vtt	0.6 KB
08. Ratio Plot-gfZ7C-QBF0k.en.vtt	0.6 KB
01. Multivariate Data-jsg6lhrJN1g.ar.vtt	0.6 KB
28. Analyzing Three or More Variables-hcGeA_0nru8.ja.vtt	0.6 KB
04. Plotting Conditional Summaries-8SqL0v_FSsc.ar.vtt	0.6 KB
28. Analyzing Three or More Variables-hcGeA_0nru8.zh-CN.vtt	0.6 KB
08. Ratio Plot-gfZ7C-QBF0k.pt-BR.vtt	0.6 KB
28. Analyzing Three or More Variables-hcGeA_0nru8.pt-BR.vtt	0.6 KB
28. Analyzing Three or More Variables-hcGeA_0nru8.en.vtt	0.7 KB
08. Ratio Plot-gfZ7C-QBF0k.ar.vtt	0.7 KB
25. Scatterplot Matrices-ov--BE6XTZU.zh-CN.vtt	0.7 KB
11. Plotting It All Together-Y4rUkaYQQKI.zh-CN.vtt	0.7 KB
13. Friending Rate-J0IqMgkl1Ws.zh-CN.vtt	0.8 KB
28. Analyzing Three or More Variables-hcGeA_0nru8.ar.vtt	0.8 KB
11. Plotting It All Together-Y4rUkaYQQKI.ja.vtt	0.8 KB
11. Plotting It All Together-Y4rUkaYQQKI.pt-BR.vtt	0.8 KB
14. Friendships Initiated-tNKpdmXj6gg.zh-CN.vtt	0.8 KB
20. Prices Over Time-aj_QpA9GygI.zh-CN.vtt	0.8 KB
13. Friending Rate-J0IqMgkl1Ws.en.vtt	0.8 KB
20. Prices Over Time-aj_QpA9GygI.ja.vtt	0.8 KB
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/Part 09-Module 01-Lesson 03_Data Visualizations in Tableau/
47. What's Next-y46uDftUXHo.en.vtt	0.4 KB
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06. Connecting To Data-WmsAtqbwRI0.zh-CN.vtt	2.5 KB
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23. Marks And Filters-FeYRmZHHu0A.zh-CN.vtt	2.8 KB
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33. Text Map Configuration.html	10.1 KB
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12. Video What Can You Create In Tableau.html	10.6 KB
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46. Text Recap.html	14.7 KB
24. Text Marks Filters I.html	14.7 KB
45. Quiz Table Calculations.html	15.2 KB
19. Quiz Aggregations.html	15.5 KB
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11. Quiz Combining Data.html	15.7 KB
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30. Quiz Show Me.html	16.8 KB
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27. Quiz Marks Filters II.html	24.8 KB
/Part 09-Module 01-Lesson 04_Making Dashboards & Stories in Tableau/
01. Communicating With Your Data-KDnca1zszIo.zh-CN.vtt	0.4 KB
01. Communicating With Your Data-KDnca1zszIo.en.vtt	0.5 KB
01. Communicating With Your Data-KDnca1zszIo.pt-BR.vtt	0.6 KB
01. Communicating With Your Data-KDnca1zszIo.ar.vtt	0.6 KB
12. Congratulations!-sCQ7ZViODaw.zh-CN.vtt	0.6 KB
12. Congratulations!-sCQ7ZViODaw.pt-BR.vtt	0.6 KB
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09. Extra Practice With Dashboards-Va2zNfnUC6o.zh-CN.vtt	0.9 KB
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03. Hierarchies with Trina-ys8Cn0o5gNI.zh-CN.vtt	1.6 KB
02. What's Ahead-ggbCydfI1JM.zh-CN.vtt	1.9 KB
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02. What's Ahead-ggbCydfI1JM.en.vtt	2.1 KB
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12. Video Congratulations!.html	6.5 KB
09. Video Extra Practice with Dashboards.html	6.6 KB
11. Text Lesson Recap.html	6.8 KB
05. Video Building Dashboards Stories with Trina.html	7.0 KB
03. Video Hierarchies with Trina.html	7.3 KB
01. Video Communicating With Your Data.html	7.4 KB
02. Video + Text What's Ahead.html	8.1 KB
06. Text General Notes for Building Data Dashboards with Trina.html	8.8 KB
07. Text General Notes for Building Stories.html	9.7 KB
05. Tableau Dashboards Stories with Trina-i9xslfFp80g.zh-CN.vtt	10.4 KB
05. Tableau Dashboards Stories with Trina-i9xslfFp80g.en.vtt	12.7 KB
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10. Quiz Extra Practice with Dashboards.html	19.1 KB
04. Quiz Hierarchies with Trina.html	21.5 KB
08. Quiz Building Dashboards Stories with Trina.html	27.5 KB
/Part 03-Module 03-Lesson 05_SQL Data Cleaning/
17. Data Cleaning Conclusion-KkHqnvD9BWY.zh-CN.vtt	0.4 KB
17. Data Cleaning Conclusion-KkHqnvD9BWY.en.vtt	0.5 KB
08. CONCAT-bCxZnQN28Y4.zh-CN.vtt	0.5 KB
17. Data Cleaning Conclusion-KkHqnvD9BWY.pt-BR.vtt	0.6 KB
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08. CONCAT-bCxZnQN28Y4.pt-BR.vtt	0.7 KB
08. CONCAT-bCxZnQN28Y4.ar.vtt	0.8 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.zh-CN.vtt	0.9 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.pt-BR.vtt	0.9 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.en.vtt	1.0 KB
14. COALESCE-86vgu-ECBCQ.zh-CN.vtt	1.4 KB
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05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.zh-CN.vtt	2.1 KB
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11. CAST-LbyOq4ofLng.zh-CN.vtt	2.6 KB
05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.pt-BR.vtt	2.7 KB
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11. CAST-LbyOq4ofLng.en.vtt	3.0 KB
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02. Cleaning with String Functions-y1fduSu7Ovc.ar.vtt	4.2 KB
index.html	4.9 KB
08. Video CONCAT.html	7.1 KB
01. Video Introduction to SQL Data Cleaning.html	7.2 KB
14. Video COALESCE.html	7.2 KB
07. Solutions POSITION, STRPOS, SUBSTR.html	7.6 KB
02. Video LEFT RIGHT.html	7.8 KB
06. Quiz POSITION, STRPOS, SUBSTR - AME DATA AS QUIZ 1.html	7.8 KB
13. Solutions CAST.html	7.9 KB
17. Video + Text Recap.html	7.9 KB
05. Video POSITION, STRPOS, SUBSTR.html	8.1 KB
10. Solutions CONCAT.html	8.3 KB
09. Quiz CONCAT.html	8.5 KB
03. Quiz LEFT RIGHT.html	8.5 KB
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11. Video CAST.html	9.0 KB
16. Solutions COALESCE.html	9.2 KB
15. Quiz COALESCE.html	9.7 KB
12. Quiz CAST.html	10.4 KB
/Part 04-Module 01-Lesson 08_Python Probability Practice/
01. Python Probability Introduction-tFMdvAN7WDY.zh-CN.vtt	0.4 KB
01. Python Probability Introduction-tFMdvAN7WDY.en.vtt	0.5 KB
01. Python Probability Introduction-tFMdvAN7WDY.pt-BR.vtt	0.5 KB
08. Python Probability Conclusion-4JYar5GykXk.zh-CN.vtt	0.6 KB
01. Python Probability Introduction-tFMdvAN7WDY.ar.vtt	0.7 KB
08. Python Probability Conclusion-4JYar5GykXk.en.vtt	0.7 KB
08. Python Probability Conclusion-4JYar5GykXk.pt-BR.vtt	0.8 KB
08. Python Probability Conclusion-4JYar5GykXk.ar.vtt	0.9 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.zh-CN.vtt	3.1 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.zh-CN.vtt	3.3 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.en.vtt	3.3 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.pt-BR.vtt	3.4 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.en.vtt	3.7 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.pt-BR.vtt	4.0 KB
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index.html	4.2 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.ar.vtt	5.0 KB
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01. Introduction.html	5.8 KB
02. Simulating Coin Flips.html	6.9 KB
04. Simulating Many Coin Flips.html	6.9 KB
05. Binomial Distributions Quiz.html	10.5 KB
03. Probability Quiz.html	10.7 KB
07. Conditional Probability Bayes Rule Quiz.html	11.3 KB
06. Cancer Test Results.html	12.3 KB
/Part 04-Module 01-Lesson 02_Descriptive Statistics - Part II/
31. Descriptive Statistics Summary-Fe7Gta2SfLA.zh-CN.vtt	0.4 KB
31. Descriptive Statistics Summary-Fe7Gta2SfLA.pt-BR.vtt	0.5 KB
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31. Descriptive Statistics Summary-Fe7Gta2SfLA.ar.vtt	0.7 KB
01. 26 Spread Part 1-zb76Z_viYLY.zh-CN.vtt	0.8 KB
01. 26 Spread Part 1-zb76Z_viYLY.pt-BR.vtt	0.9 KB
01. 26 Spread Part 1-zb76Z_viYLY.en.vtt	0.9 KB
03. What is the Difference-I3tQvrCgNrQ.zh-CN.vtt	1.1 KB
01. 26 Spread Part 1-zb76Z_viYLY.ar.vtt	1.2 KB
22. Outliers Advice-BhhDoTgYQmI.zh-CN.vtt	1.3 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.zh-CN.vtt	1.3 KB
03. What is the Difference-I3tQvrCgNrQ.en.vtt	1.3 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.zh-CN.vtt	1.4 KB
02. Histograms-4t10RgUv2Fc.zh-CN.vtt	1.4 KB
18. Data in the Real World-HmipezTjTDY.zh-CN.vtt	1.4 KB
03. What is the Difference-I3tQvrCgNrQ.pt-BR.vtt	1.5 KB
22. Outliers Advice-BhhDoTgYQmI.en.vtt	1.5 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.en.vtt	1.6 KB
18. Data in the Real World-HmipezTjTDY.en.vtt	1.6 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.zh-CN.vtt	1.6 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.en.vtt	1.6 KB
02. Histograms-4t10RgUv2Fc.en.vtt	1.6 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.pt-BR.vtt	1.6 KB
22. Outliers Advice-BhhDoTgYQmI.pt-BR.vtt	1.7 KB
18. Data in the Real World-HmipezTjTDY.pt-BR.vtt	1.8 KB
02. Histograms-4t10RgUv2Fc.pt-BR.vtt	1.8 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.pt-BR.vtt	1.8 KB
03. What is the Difference-I3tQvrCgNrQ.ar.vtt	1.9 KB
21. Working with Outliers-4RnQjtJB8t8.zh-CN.vtt	1.9 KB
22. Outliers Advice-BhhDoTgYQmI.ar.vtt	2.0 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.en.vtt	2.0 KB
18. Data in the Real World-HmipezTjTDY.ar.vtt	2.1 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.pt-BR.vtt	2.2 KB
21. Working with Outliers-4RnQjtJB8t8.en.vtt	2.2 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.ar.vtt	2.2 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.ar.vtt	2.3 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.zh-CN.vtt	2.3 KB
02. Histograms-4t10RgUv2Fc.ar.vtt	2.3 KB
20. Outliers-HKIsvkZUZfo.zh-CN.vtt	2.3 KB
17. Shape of Distributions-UnN99AAYf8k.zh-CN.vtt	2.4 KB
21. Working with Outliers-4RnQjtJB8t8.pt-BR.vtt	2.5 KB
20. Outliers-HKIsvkZUZfo.en.vtt	2.7 KB
20. Outliers-HKIsvkZUZfo.pt-BR.vtt	2.8 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.en.vtt	2.8 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt	2.8 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.ar.vtt	2.9 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.pt-BR.vtt	2.9 KB
21. Working with Outliers-4RnQjtJB8t8.ar.vtt	3.0 KB
04. 29 Number Summary-gzUN5zKLHjQ.zh-CN.vtt	3.0 KB
17. Shape of Distributions-UnN99AAYf8k.pt-BR.vtt	3.0 KB
17. Shape of Distributions-UnN99AAYf8k.en.vtt	3.0 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.zh-CN.vtt	3.0 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt	3.3 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.ar.vtt	3.5 KB
20. Outliers-HKIsvkZUZfo.ar.vtt	3.6 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt	3.6 KB
04. 29 Number Summary-gzUN5zKLHjQ.en.vtt	3.6 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.en.vtt	3.8 KB
04. 29 Number Summary-gzUN5zKLHjQ.pt-BR.vtt	4.0 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.pt-BR.vtt	4.0 KB
17. Shape of Distributions-UnN99AAYf8k.ar.vtt	4.2 KB
04. 29 Number Summary-gzUN5zKLHjQ.ar.vtt	4.8 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt	4.9 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.ar.vtt	4.9 KB
index.html	7.1 KB
31. Video Summary.html	9.3 KB
11. Video Why the Standard Deviation.html	9.3 KB
03. Video Weekdays vs. Weekends What is the Difference.html	9.3 KB
06. Video What if We Only Want One Number.html	9.3 KB
08. Video Standard Deviation Calculation.html	9.5 KB
02. Video Histograms.html	9.6 KB
01. Video What are Measures of Spread.html	9.8 KB
20. Video Shape and Outliers.html	9.9 KB
18. Video The Shape For Data In The World.html	9.9 KB
21. Video Working With Outliers.html	10.0 KB
07. Video Introduction to Standard Deviation and Variance.html	10.2 KB
09. Measures of Spread (Calculation and Units).html	10.3 KB
27. Video Descriptive vs. Inferential Statistics.html	10.3 KB
22. Video Working With Outliers My Advice.html	10.5 KB
17. Video Shape.html	10.6 KB
04. Video Introduction to Five Number Summary.html	10.7 KB
05. Quiz 5 Number Summary Practice.html	10.8 KB
12. Video Important Final Points.html	10.9 KB
30. Text Descriptive vs. Inferential Summary.html	10.9 KB
28. Quiz Descriptive vs. Inferential (Udacity Students).html	11.6 KB
16. Text Measures of Center and Spread Summary.html	12.1 KB
10. Text Introduction to the Standard Deviation and Variance.html	12.5 KB
19. Quiz Shape and Outliers (What's the Impact).html	12.5 KB
13. Advanced Standard Deviation and Variance.html	12.7 KB
26. Text Descriptive Statistics Summary .html	12.8 KB
15. Homework 1 Final Quiz on Measures Spread.html	14.1 KB
14. Quiz Applied Standard Deviation and Variance.html	14.8 KB
24. Quiz Shape and Outliers (Visuals).html	15.0 KB
25. Quiz Shape and Outliers (Final Quiz).html	15.9 KB
23. Quiz Shape and Outliers (Comparing Distributions).html	16.0 KB
29. Quiz Descriptive vs. Inferential (Bagels).html	17.8 KB
/Part 03-Module 03-Lesson 04_SQL Subqueries & Temporary Tables/
16. Subquery Conclusion-TUYvx2K9-5k.zh-CN.vtt	0.4 KB
16. Subquery Conclusion-TUYvx2K9-5k.en.vtt	0.5 KB
02. Introduction to Subqueries-s8ZJMj4gscY.zh-CN.vtt	0.5 KB
02. Introduction to Subqueries-s8ZJMj4gscY.en.vtt	0.6 KB
16. Subquery Conclusion-TUYvx2K9-5k.pt-BR.vtt	0.7 KB
16. Subquery Conclusion-TUYvx2K9-5k.ar.vtt	0.7 KB
01. Introduction-2Y279421n3A.zh-CN.vtt	0.7 KB
02. Introduction to Subqueries-s8ZJMj4gscY.pt-BR.vtt	0.8 KB
01. Introduction-2Y279421n3A.en.vtt	0.8 KB
01. Introduction-2Y279421n3A.pt-BR.vtt	0.9 KB
02. Introduction to Subqueries-s8ZJMj4gscY.ar.vtt	0.9 KB
01. Introduction-2Y279421n3A.ar.vtt	1.1 KB
12. Subqueries Using WITH-IszTmDKyKHI.zh-CN.vtt	1.2 KB
12. Common Table Expressions-qtEKO7B8bXQ.zh-CN.vtt	1.3 KB
12. Subqueries Using WITH-IszTmDKyKHI.en.vtt	1.4 KB
12. Common Table Expressions-qtEKO7B8bXQ.en.vtt	1.4 KB
06. Subqueries Part II-jko-RrZd0R8.zh-CN.vtt	1.5 KB
12. Subqueries Using WITH-IszTmDKyKHI.pt-BR.vtt	1.6 KB
06. Subqueries Part II-jko-RrZd0R8.en.vtt	1.6 KB
12. Common Table Expressions-qtEKO7B8bXQ.pt-BR.vtt	1.8 KB
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06. Subqueries Part II-jko-RrZd0R8.pt-BR.vtt	1.9 KB
12. Common Table Expressions-qtEKO7B8bXQ.ar.vtt	2.0 KB
06. Subqueries Part II-jko-RrZd0R8.ar.vtt	2.2 KB
03. Your First Subquery-cTM1jPYXLoQ.zh-CN.vtt	2.6 KB
03. Your First Subquery-cTM1jPYXLoQ.en.vtt	2.9 KB
03. Your First Subquery-cTM1jPYXLoQ.pt-BR.vtt	3.2 KB
03. Your First Subquery-cTM1jPYXLoQ.ar.vtt	4.1 KB
index.html	5.0 KB
02. Video Introduction to Subqueries.html	7.2 KB
16. Video Subquery Conclusion.html	7.6 KB
01. Video Introduction.html	7.7 KB
09. Solution Video More On Subqueries.html	7.8 KB
08. Solutions More On Subqueries.html	8.0 KB
06. Video More On Subqueries.html	8.0 KB
12. Video WITH.html	8.3 KB
04. Solutions Write Your First Subquery.html	8.3 KB
09. SQL Subquery Video-10pmKmTI_CA.pt-BR.vtt	8.8 KB
10. Quiz Subquery Mania.html	9.0 KB
09. SQL Subquery Video-10pmKmTI_CA.en.vtt	9.0 KB
05. Text Subquery Formatting.html	9.2 KB
14. Quiz WITH.html	9.4 KB
11. Subquery Solution Video-Y6S3S0LsMrw.zh-CN.vtt	11.0 KB
13. Text + Quiz WITH vs. Subquery.html	11.1 KB
15. Solutions WITH.html	12.2 KB
07. Quiz More On Subqueries.html	12.9 KB
11. Subquery Solution Video-Y6S3S0LsMrw.en.vtt	12.9 KB
11. Subquery Solution Video-Y6S3S0LsMrw.pt-BR.vtt	13.7 KB
03. Video + Quiz Write Your First Subquery.html	15.0 KB
11. Subquery Solution Video-Y6S3S0LsMrw.ar.vtt	16.3 KB
11. Solution Subquery Mania.html	17.7 KB
/
README.txt	0.5 KB
/Part 18-Module 01-Lesson 05_Scripting/
29. Conclusion-rEMrswkLvh8.zh-CN.vtt	0.5 KB
29. Conclusion-rEMrswkLvh8.en.vtt	0.5 KB
29. Conclusion-rEMrswkLvh8.pt-BR.vtt	0.5 KB
01. Scripting-Qxe_gCiXUDg.zh-CN.vtt	0.6 KB
01. Scripting-Qxe_gCiXUDg.en.vtt	0.6 KB
29. Conclusion-rEMrswkLvh8.ar.vtt	0.7 KB
01. Scripting-Qxe_gCiXUDg.pt-BR.vtt	0.8 KB
01. Scripting-Qxe_gCiXUDg.ar.vtt	0.9 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.zh-CN.vtt	1.6 KB
02. Python Installation-2_P05aYChqQ.zh-CN.vtt	1.7 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.en.vtt	1.8 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.zh-CN.vtt	1.8 KB
02. Python Installation-2_P05aYChqQ.en.vtt	1.8 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.zh-CN.vtt	2.0 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.pt-BR.vtt	2.0 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt	2.1 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.en.vtt	2.1 KB
02. Python Installation-2_P05aYChqQ.pt-BR.vtt	2.2 KB
05. Running A Python Script-vMKemwCderg.zh-CN.vtt	2.2 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.pt-BR.vtt	2.2 KB
17. Reading And Writing Files-w-ZG6DMkVi4.zh-CN.vtt	2.3 KB
05. Running A Python Script-vMKemwCderg.en.vtt	2.3 KB
02. Python Installation-2_P05aYChqQ.ar.vtt	2.3 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.pt-BR.vtt	2.4 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.ar.vtt	2.5 KB
17. Reading And Writing Files-w-ZG6DMkVi4.en.vtt	2.5 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.zh-CN.vtt	2.5 KB
05. Running A Python Script-vMKemwCderg.pt-BR.vtt	2.6 KB
11. Errors And Exceptions-DmthSiy2d0U.zh-CN.vtt	2.7 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.en.vtt	2.8 KB
21. The Standard Library-Fw3vf0tDrJM.zh-CN.vtt	2.8 KB
11. Errors And Exceptions-DmthSiy2d0U.en.vtt	2.8 KB
17. Reading And Writing Files-w-ZG6DMkVi4.pt-BR.vtt	2.9 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.zh-CN.vtt	2.9 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.ar.vtt	2.9 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt	3.0 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt	3.0 KB
05. Running A Python Script-vMKemwCderg.ar.vtt	3.1 KB
11. Errors And Exceptions-DmthSiy2d0U.pt-BR.vtt	3.1 KB
21. The Standard Library-Fw3vf0tDrJM.en.vtt	3.1 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt	3.2 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.pt-BR.vtt	3.4 KB
17. Reading And Writing Files-w-ZG6DMkVi4.ar.vtt	3.4 KB
27. Experimenting With An Interpreter-hspPtnQwMPg.zh-CN.vtt	3.4 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.pt-BR.vtt	3.5 KB
21. The Standard Library-Fw3vf0tDrJM.pt-BR.vtt	3.5 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.en.vtt	3.6 KB
11. Errors And Exceptions-DmthSiy2d0U.ar.vtt	3.8 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.pt-BR.vtt	3.8 KB
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08. Scripting With Raw Input-Fs9uLV2qfgI.ar.vtt	4.0 KB
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04. [For Windows] Configuring Git Bash to Run Python.html	14.8 KB
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/Part 16-Module 01-Lesson 05_Choose Your Own Algorithm/
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10. Welcome to the end of the lesson.html	6.1 KB
02. Why Study a New Algorithm Solo.html	6.5 KB
08. Can You Beat Our High Score.html	6.7 KB
06. Choose-Your-Own Algorithm Checklist.html	6.9 KB
/Part 04-Module 01-Lesson 13_Case Study AB tests/
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18. Conclusion-qmGjRpMVBz8.zh-CN.vtt	0.5 KB
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14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt	0.6 KB
18. Conclusion-qmGjRpMVBz8.en.vtt	0.6 KB
01. Case Study Introduction-J5uvdPxHIfs.en.vtt	0.6 KB
01. Case Study Introduction-J5uvdPxHIfs.pt-BR.vtt	0.7 KB
18. Conclusion-qmGjRpMVBz8.pt-BR.vtt	0.7 KB
14. Analyzing Multiple Metrics-DtZghKNa7Ak.pt-BR.vtt	0.8 KB
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04. Business Example-Wzz7omSDfEk.zh-CN.vtt	1.8 KB
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05. Experiment I-JLKAdT2JESk.zh-CN.vtt	2.2 KB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.zh-CN.vtt	2.2 KB
04. Business Example-Wzz7omSDfEk.pt-BR.vtt	2.3 KB
05. Experiment I-JLKAdT2JESk.en.vtt	2.6 KB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.en.vtt	2.6 KB
02. AB Testing-EcWvhbIjT9o.zh-CN.vtt	2.6 KB
07. Metric - Click Through Rate-EpfoKAwV_Eg.zh-CN.vtt	3.0 KB
05. Experiment I-JLKAdT2JESk.pt-BR.vtt	3.0 KB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.pt-BR.vtt	3.1 KB
02. AB Testing-EcWvhbIjT9o.en.vtt	3.2 KB
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02. AB Testing-EcWvhbIjT9o.pt-BR.vtt	3.7 KB
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01. Introduction.html	7.0 KB
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16. Drawing Conclusions.html	7.7 KB
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10. Metric - Enrollment Rate.html	10.0 KB
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03. AB Testing.html	10.5 KB
12. Metric - Average Classroom Time.html	10.9 KB
17. Quiz Difficulties in AB Testing.html	15.1 KB
06. Quiz Experiment I.html	16.0 KB
/Part 09-Module 01-Lesson 01_Introduction to Data Visualization/
05. Data Types Review-xzZZZCZk5YM.zh-CN.vtt	0.5 KB
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05. Data Types Review-xzZZZCZk5YM.pt-BR.vtt	0.6 KB
05. Data Types Review-xzZZZCZk5YM.ar.vtt	0.7 KB
13. Line Plots-GsaBT47pjgQ.zh-CN.vtt	0.9 KB
13. Line Plots-GsaBT47pjgQ.en.vtt	1.0 KB
17. Why Data Dashboards-8ni2lCqAVvQ.zh-CN.vtt	1.0 KB
21. What's Next-AwpX6HkhL0k.zh-CN.vtt	1.0 KB
13. Line Plots-GsaBT47pjgQ.pt-BR.vtt	1.1 KB
17. Why Data Dashboards-8ni2lCqAVvQ.en.vtt	1.1 KB
21. What's Next-AwpX6HkhL0k.en.vtt	1.2 KB
02. Why Do We Use Data Visualizations-iiOP4PE46f4.zh-CN.vtt	1.3 KB
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17. Why Data Dashboards-8ni2lCqAVvQ.pt-BR.vtt	1.3 KB
13. Line Plots-GsaBT47pjgQ.ar.vtt	1.4 KB
02. Why Do We Use Data Visualizations-iiOP4PE46f4.en.vtt	1.4 KB
04. Further Motivation-sjGxUKrbKoI.zh-CN.vtt	1.4 KB
21. What's Next-AwpX6HkhL0k.ar.vtt	1.5 KB
04. Further Motivation-sjGxUKrbKoI.en.vtt	1.5 KB
11. Correlation Coefficients-rL5Bn8Fi-zE.zh-CN.vtt	1.5 KB
17. Why Data Dashboards-8ni2lCqAVvQ.ar.vtt	1.5 KB
02. Why Do We Use Data Visualizations-iiOP4PE46f4.pt-BR.vtt	1.6 KB
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01. Introduction to Data Visualization-MUZXLvBI2sw.en.vtt	1.7 KB
11. Correlation Coefficients-rL5Bn8Fi-zE.en.vtt	1.8 KB
02. Why Do We Use Data Visualizations-iiOP4PE46f4.ar.vtt	1.8 KB
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01. Introduction to Data Visualization-MUZXLvBI2sw.pt-BR.vtt	1.9 KB
11. Correlation Coefficients-rL5Bn8Fi-zE.pt-BR.vtt	2.0 KB
04. Further Motivation-sjGxUKrbKoI.ar.vtt	2.1 KB
01. Introduction to Data Visualization-MUZXLvBI2sw.ar.vtt	2.1 KB
07. Univariate Plots-kgmYLreYB0A.zh-CN.vtt	2.2 KB
11. Correlation Coefficients-rL5Bn8Fi-zE.ar.vtt	2.2 KB
09. Scatter Plots -DvlxZ37O4i8.en.vtt	2.5 KB
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15. What About More Than Two Variables -ufKcdUbLj9c.zh-CN.vtt	2.7 KB
15. What About More Than Two Variables -ufKcdUbLj9c.en.vtt	2.9 KB
07. Univariate Plots-kgmYLreYB0A.pt-BR.vtt	3.0 KB
09. Scatter Plots -DvlxZ37O4i8.ar.vtt	3.1 KB
07. Univariate Plots-kgmYLreYB0A.ar.vtt	3.4 KB
15. What About More Than Two Variables -ufKcdUbLj9c.pt-BR.vtt	3.5 KB
14. What is the Question-xQJyObqxg3E.zh-CN.vtt	3.6 KB
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14. What is the Question-xQJyObqxg3E.en.vtt	4.1 KB
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14. What is the Question-xQJyObqxg3E.ar.vtt	5.5 KB
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02. Why Do We Use Data Visualizations.html	7.6 KB
04. Further Motivation.html	7.7 KB
07. Univariate Plots.html	7.8 KB
05. Data Types Review.html	7.8 KB
09. Scatter Plots.html	8.2 KB
14. What is the Question.html	8.3 KB
20. Recap.html	8.5 KB
15. What About with More Than Two Variables.html	8.6 KB
11. Correlation Coefficients.html	9.0 KB
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08. Univariate Plots.html	10.5 KB
16. Multiple Variables Quiz.html	11.2 KB
12. Correlation Coefficient Quizzes.html	12.1 KB
06. Identifying Data Types.html	12.1 KB
03. Motivation for Data Visualization.html	14.3 KB
10. Quizzes On Scatter Plots.html	15.6 KB
/Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program!/
05. Introduction-fxNSn63xFvA.zh-CN.vtt	0.5 KB
05. Introduction-fxNSn63xFvA.en.vtt	0.6 KB
05. Introduction-fxNSn63xFvA.pt-BR.vtt	0.6 KB
05. Introduction-fxNSn63xFvA.ar.vtt	0.8 KB
08. How Does Project Submission Work-jCJa_VP6qgg.zh-CN.vtt	1.1 KB
06. Projects and Progress-Z9ZLMQWsbsk.zh-CN.vtt	1.1 KB
08. How Does Project Submission Work-jCJa_VP6qgg.pt-BR.vtt	1.1 KB
08. How Does Project Submission Work-jCJa_VP6qgg.en.vtt	1.1 KB
06. Projects and Progress-Z9ZLMQWsbsk.en.vtt	1.2 KB
07. Integrity and Mindset-zCOr3O50gQM.zh-CN.vtt	1.2 KB
06. Projects and Progress-Z9ZLMQWsbsk.pt-BR.vtt	1.3 KB
07. Integrity and Mindset-zCOr3O50gQM.en.vtt	1.3 KB
07. Integrity and Mindset-zCOr3O50gQM.pt-BR.vtt	1.4 KB
08. How Does Project Submission Work-jCJa_VP6qgg.ar.vtt	1.4 KB
06. Projects and Progress-Z9ZLMQWsbsk.ar.vtt	1.6 KB
07. Integrity and Mindset-zCOr3O50gQM.ar.vtt	1.7 KB
02. Projects Term 1 V2-1e1y6QB34YM.zh-CN.vtt	1.8 KB
10. Time Commitment-d-VfUw7wNEQ.zh-CN.vtt	1.9 KB
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02. Projects Term 1 V2-1e1y6QB34YM.ar.vtt	2.6 KB
10. Time Commitment-d-VfUw7wNEQ.ar.vtt	2.8 KB
01. Welcome To DAND Term 1-Q1GEXzXXLN0.zh-CN.vtt	2.9 KB
01. Welcome To DAND Term 1-Q1GEXzXXLN0.en.vtt	3.1 KB
01. Welcome To DAND Term 1-Q1GEXzXXLN0.pt-BR.vtt	3.2 KB
12. Meet the Careers Team-cuKecPpZ7PM.en.vtt	3.7 KB
12. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt	3.9 KB
01. Welcome To DAND Term 1-Q1GEXzXXLN0.ar.vtt	4.2 KB
index.html	4.7 KB
11. Study Habits of Successful Graduates.html	6.3 KB
05. Orientation Introduction.html	6.4 KB
02. Projects.html	6.4 KB
01. Looking Ahead.html	6.4 KB
06. Projects and Progress.html	6.4 KB
08. How Does Project Submission Work.html	6.5 KB
13. Access Your Career Portal.html	7.4 KB
12. Meet the Careers Team.html	7.5 KB
07. Integrity and Mindset.html	7.8 KB
10. How Do I Find Time for My Nanodegree.html	7.8 KB
14. Your Udacity Professional Profile.html	8.2 KB
03. Meet the Team.html	8.3 KB
04. Program Structure and Schedule.html	9.2 KB
09. Getting Help.html	10.8 KB
/Part 06-Module 01-Lesson 01_Welcome to Term 2!/
06. Introduction-fxNSn63xFvA.zh-CN.vtt	0.5 KB
06. Introduction-fxNSn63xFvA.en.vtt	0.6 KB
06. Introduction-fxNSn63xFvA.pt-BR.vtt	0.6 KB
06. Introduction-fxNSn63xFvA.ar.vtt	0.8 KB
09. How Does Project Submission Work-jCJa_VP6qgg.zh-CN.vtt	1.1 KB
07. Projects and Progress-Z9ZLMQWsbsk.zh-CN.vtt	1.1 KB
09. How Does Project Submission Work-jCJa_VP6qgg.pt-BR.vtt	1.1 KB
09. How Does Project Submission Work-jCJa_VP6qgg.en.vtt	1.1 KB
07. Projects and Progress-Z9ZLMQWsbsk.en.vtt	1.2 KB
08. Integrity and Mindset-zCOr3O50gQM.zh-CN.vtt	1.2 KB
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08. Integrity and Mindset-zCOr3O50gQM.en.vtt	1.3 KB
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09. How Does Project Submission Work-jCJa_VP6qgg.ar.vtt	1.4 KB
01. Welcome To DAND Term 2-OOcC8OUJmc0.zh-CN.vtt	1.5 KB
07. Projects and Progress-Z9ZLMQWsbsk.ar.vtt	1.6 KB
01. Welcome To DAND Term 2-OOcC8OUJmc0.pt-BR.vtt	1.7 KB
02. Projects Term 2-jSRJblo-Ptw.zh-CN.vtt	1.7 KB
01. Welcome To DAND Term 2-OOcC8OUJmc0.en.vtt	1.7 KB
08. Integrity and Mindset-zCOr3O50gQM.ar.vtt	1.7 KB
11. Time Commitment-d-VfUw7wNEQ.zh-CN.vtt	1.9 KB
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01. Welcome To DAND Term 2-OOcC8OUJmc0.ar.vtt	2.2 KB
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11. Time Commitment-d-VfUw7wNEQ.ar.vtt	2.8 KB
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index.html	4.8 KB
05. Learning Plan - First Two Weeks.html	6.4 KB
12. Study Habits of Successful Graduates.html	6.4 KB
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06. Orientation Introduction.html	6.5 KB
07. Projects and Progress.html	6.5 KB
01. Welcome to Term 2 of the Data Analyst Nanodegree program.html	6.6 KB
09. How Does Project Submission Work.html	6.6 KB
13. Meet the Careers Team.html	7.6 KB
08. Integrity and Mindset.html	7.9 KB
11. How Do I Find Time for My Nanodegree.html	7.9 KB
14. Your Udacity Professional Profile.html	8.3 KB
03. Meet the Team.html	8.4 KB
04. Program Structure and Schedule.html	10.6 KB
10. Getting Help.html	10.9 KB
/Part 10-Module 01-Lesson 01_Congratulations & Next Steps/
03. Projects-1-E_ZYovKeI.pt-BR.vtt	0.5 KB
03. Projects-1-E_ZYovKeI.en.vtt	0.5 KB
03. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.zh-CN.vtt	1.2 KB
01. DAND 01 Congrats V1-QS1jKmZWdTk.pt-BR.vtt	1.3 KB
03. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.en.vtt	1.3 KB
03. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.pt-BR.vtt	1.5 KB
02. DSND Trailer Final-X2xQnb-bR8A.pt-BR.vtt	2.8 KB
03. Kaggle Project Final For Classroom-Ssttix340C8.pt-BR.vtt	3.0 KB
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03. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.pt-BR.vtt	3.6 KB
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index.html	3.8 KB
02. Next Steps.html	5.6 KB
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04. What's Next in Your Journey!.html	6.1 KB
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/Part 03-Module 03-Lesson 06_[Advanced] SQL Window Functions/
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19. Introduction to Percentiles-t7SX2ZEdxKA.zh-CN.vtt	0.7 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.en.vtt	0.8 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.zh-CN.vtt	0.8 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.pt-BR.vtt	0.8 KB
23. Window Functions Conclusion-2ZdocDMw7D8.ar.vtt	0.8 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.en.vtt	0.8 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.pt-BR.vtt	0.8 KB
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01. Introduction to Window Functions-u3qLjP8KMKc.en.vtt	0.9 KB
01. Introduction to Window Functions-u3qLjP8KMKc.pt-BR.vtt	0.9 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.ar.vtt	1.0 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.ar.vtt	1.0 KB
20. Percentiles-Qro8uvysnys.zh-CN.vtt	1.0 KB
01. Introduction to Window Functions-u3qLjP8KMKc.ar.vtt	1.2 KB
20. Percentiles-Qro8uvysnys.pt-BR.vtt	1.2 KB
20. Percentiles-Qro8uvysnys.en.vtt	1.2 KB
20. Percentiles-Qro8uvysnys.ar.vtt	1.5 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.zh-CN.vtt	1.7 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.en.vtt	1.9 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.pt-BR.vtt	1.9 KB
02. Window Functions-gp0RPgkDHsQ.zh-CN.vtt	2.4 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.ar.vtt	2.4 KB
07. Running Totals And Count-rNJwmnzUTxg.zh-CN.vtt	2.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.zh-CN.vtt	2.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.pt-BR.vtt	2.5 KB
02. Window Functions-gp0RPgkDHsQ.pt-BR.vtt	2.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.en.vtt	2.6 KB
07. Running Totals And Count-rNJwmnzUTxg.pt-BR.vtt	2.7 KB
07. Running Totals And Count-rNJwmnzUTxg.en.vtt	2.7 KB
02. Window Functions-gp0RPgkDHsQ.en.vtt	2.7 KB
07. Running Totals And Count-rNJwmnzUTxg.ar.vtt	3.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.ar.vtt	3.6 KB
02. Window Functions-gp0RPgkDHsQ.ar.vtt	3.6 KB
index.html	5.9 KB
23. Video Recap.html	7.8 KB
07. Video ROW_NUMBER RANK.html	7.8 KB
19. Video Introduction to Percentiles.html	7.8 KB
10. Video Aggregates in Window Functions.html	7.9 KB
01. Video Introduction to Window Functions.html	7.9 KB
13. Video Aliases for Multiple Window Functions.html	8.2 KB
04. Solutions Window Functions 1.html	8.4 KB
09. Solutions ROW_NUMBER RANK.html	8.4 KB
12. Solutions Aggregates in Window Functions.html	8.5 KB
08. Quiz ROW_NUMBER RANK.html	8.6 KB
18. Solutions Comparing a Row to Previous Row.html	8.6 KB
03. Quiz Window Functions 1.html	8.6 KB
06. Solutions Window Functions 2.html	8.8 KB
05. Quiz Window Functions 2.html	8.8 KB
22. Solutions Percentiles.html	8.9 KB
15. Solutions Aliases for Multiple Window Functions.html	9.0 KB
20. Video Percentiles.html	9.2 KB
17. Quiz Comparing a Row to Previous Row.html	9.5 KB
02. Video Window Functions 1.html	9.6 KB
21. Quiz Percentiles.html	10.1 KB
14. Quiz Aliases for Multiple Window Functions.html	11.5 KB
11. Quiz Aggregates in Window Functions.html	17.0 KB
16. Video Comparing a Row to Previous Row.html	22.0 KB
/Part 02-Module 01-Lesson 05_Wikipedia Web Crawl Case Study/
05. Coding inside the skeleton loop-MRPdqOwnqag.zh-CN.vtt	0.5 KB
05. Coding inside the skeleton loop-MRPdqOwnqag.en.vtt	0.6 KB
05. Coding inside the skeleton loop-MRPdqOwnqag.pt-BR.vtt	0.6 KB
05. Coding inside the skeleton loop-MRPdqOwnqag.ar.vtt	0.8 KB
11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.zh-CN.vtt	0.8 KB
11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.en.vtt	0.9 KB
11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.pt-BR.vtt	1.0 KB
08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.zh-CN.vtt	1.1 KB
08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.pt-BR.vtt	1.1 KB
08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.en.vtt	1.1 KB
11. Ud1110 IntroPy L5 44 Bye Bye!-lRYvuMf33eY.ar.vtt	1.2 KB
04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.zh-CN.vtt	1.2 KB
04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.pt-BR.vtt	1.3 KB
04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.en.vtt	1.3 KB
07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.zh-CN.vtt	1.5 KB
07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.pt-BR.vtt	1.5 KB
07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.en.vtt	1.6 KB
08. Ud1110 IntroPy L5 37 Squashing Bugs-X-GqfxYpaw0.ar.vtt	1.7 KB
04. Ud1110 IntroPy L5 22 Continue Crawl Solution-tLhTfSZ6LRA.ar.vtt	1.8 KB
10. The Completed Program-yGDHoIOfwt8.zh-CN.vtt	1.9 KB
10. The Completed Program-yGDHoIOfwt8.pt-BR.vtt	2.0 KB
10. The Completed Program-yGDHoIOfwt8.en.vtt	2.0 KB
07. Ud1110 IntroPy L5 30 Finding The First Link-Z-uuXDrMzqM.ar.vtt	2.1 KB
05. Continue Crawl Solution-cFwJ_MO3ofs.zh-CN.vtt	2.1 KB
05. Continue Crawl Solution-cFwJ_MO3ofs.pt-BR.vtt	2.2 KB
05. Continue Crawl Solution-cFwJ_MO3ofs.en.vtt	2.3 KB
08. Ud1110 IntroPy L5 34 Finding The First Link 2-bsMtF-705EU.pt-BR.vtt	2.3 KB
08. Ud1110 IntroPy L5 34 Finding The First Link 2-bsMtF-705EU.zh-CN.vtt	2.4 KB
11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.zh-CN.vtt	2.5 KB
02. Exploring HTML with Developer Tools-YWbCvLCBQrg.zh-CN.vtt	2.5 KB
08. Ud1110 IntroPy L5 34 Finding The First Link 2-bsMtF-705EU.en.vtt	2.5 KB
02. Exploring HTML with Developer Tools-YWbCvLCBQrg.en.vtt	2.6 KB
10. The Completed Program-yGDHoIOfwt8.ar.vtt	2.6 KB
02. Exploring HTML with Developer Tools-YWbCvLCBQrg.pt-BR.vtt	2.7 KB
11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.en.vtt	2.7 KB
11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.pt-BR.vtt	3.0 KB
05. Continue Crawl Solution-cFwJ_MO3ofs.ar.vtt	3.0 KB
02. Beautiful Soup Demonstration-dk7ESZXLnk4.pt-BR.vtt	3.1 KB
02. Beautiful Soup Demonstration-dk7ESZXLnk4.zh-CN.vtt	3.1 KB
02. Beautiful Soup Demonstration-dk7ESZXLnk4.en.vtt	3.1 KB
08. Ud1110 IntroPy L5 34 Finding The First Link 2-bsMtF-705EU.ar.vtt	3.3 KB
02. Using Python to get HTML-1Y_CZyKNWe4.zh-CN.vtt	3.4 KB
02. Exploring HTML with Developer Tools-YWbCvLCBQrg.ar.vtt	3.4 KB
11. Ud1110 IntroPy L5 43 Case Study Review-jiZwuN6zTFs.ar.vtt	3.5 KB
02. Using Python to get HTML-1Y_CZyKNWe4.en.vtt	3.5 KB
02. Using Python to get HTML-1Y_CZyKNWe4.pt-BR.vtt	3.5 KB
01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.zh-CN.vtt	4.3 KB
01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.en.vtt	4.4 KB
02. Beautiful Soup Demonstration-dk7ESZXLnk4.ar.vtt	4.4 KB
01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.pt-BR.vtt	4.4 KB
index.html	4.4 KB
02. Using Python to get HTML-1Y_CZyKNWe4.ar.vtt	4.6 KB
07. Finding the First Link-_bPdJBJtNqo.pt-BR.vtt	5.0 KB
07. Finding the First Link-_bPdJBJtNqo.zh-CN.vtt	5.1 KB
07. Finding the First Link-_bPdJBJtNqo.en.vtt	5.1 KB
01. Ud1110 IntroPy L5 01 A Wikipedia Crawl-osrplIl1m-k.ar.vtt	5.9 KB
06. Implementing the Program III.html	6.9 KB
07. Finding the First Link-_bPdJBJtNqo.ar.vtt	7.1 KB
11. Conclusion.html	7.2 KB
09. Iterative Programming III.html	7.4 KB
01. Case Study Introduction.html	7.5 KB
04. Implementing the Program.html	8.9 KB
08. Iterative Programming II.html	11.1 KB
10. Finishing Touches.html	11.4 KB
05. Implementing the Program II.html	11.6 KB
07. Iterative Programming I.html	11.9 KB
03. Designing the Program.html	13.8 KB
02. Laying the Groundwork.html	21.7 KB
/Part 04-Module 01-Lesson 12_Hypothesis Testing/
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.zh-CN.vtt	0.5 KB
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.pt-BR.vtt	0.6 KB
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.en.vtt	0.6 KB
13. How Do We Choose Between Hypotheses-JkXTwS-5Daw.zh-CN.vtt	0.9 KB
29. Hypothesis Testing Conclusion-nQFchD4XPPs.zh-CN.vtt	0.9 KB
13. How Do We Choose Between Hypotheses-JkXTwS-5Daw.pt-BR.vtt	1.1 KB
29. Hypothesis Testing Conclusion-nQFchD4XPPs.en.vtt	1.1 KB
13. How Do We Choose Between Hypotheses-JkXTwS-5Daw.en.vtt	1.1 KB
29. Hypothesis Testing Conclusion-nQFchD4XPPs.pt-BR.vtt	1.1 KB
26. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.zh-CN.vtt	1.5 KB
26. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.en.vtt	1.7 KB
21. Conclusions In Hypothesis Testing-I0Mo7hcxahY.zh-CN.vtt	1.8 KB
06. Types Of Errors - Part I-aw6GMxIvENc.zh-CN.vtt	1.8 KB
20. Connecting Errors and P-Values-hFNjd5l9CLs.zh-CN.vtt	1.9 KB
26. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.pt-BR.vtt	1.9 KB
25. Multiple Testing Corrections-DuMgeHrkIF0.zh-CN.vtt	1.9 KB
20. Connecting Errors and P-Values-hFNjd5l9CLs.pt-BR.vtt	2.0 KB
21. Conclusions In Hypothesis Testing-I0Mo7hcxahY.en.vtt	2.0 KB
06. Types Of Errors - Part I-aw6GMxIvENc.pt-BR.vtt	2.0 KB
21. Conclusions In Hypothesis Testing-I0Mo7hcxahY.pt-BR.vtt	2.0 KB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.zh-CN.vtt	2.1 KB
06. Types Of Errors - Part I-aw6GMxIvENc.en.vtt	2.2 KB
12. Common Types of Hypothesis Tests-8hv8KnvQ6JY.zh-CN.vtt	2.2 KB
20. Connecting Errors and P-Values-hFNjd5l9CLs.en.vtt	2.2 KB
25. Multiple Testing Corrections-DuMgeHrkIF0.pt-BR.vtt	2.3 KB
25. Multiple Testing Corrections-DuMgeHrkIF0.en.vtt	2.3 KB
02. Hypothesis Testing-9GbHHpiK6wk.zh-CN.vtt	2.3 KB
04. Setting Up Hypotheses - Part II-nByvHz77GiA.zh-CN.vtt	2.3 KB
13. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.zh-CN.vtt	2.4 KB
02. Hypothesis Testing-9GbHHpiK6wk.pt-BR.vtt	2.5 KB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.en.vtt	2.5 KB
12. Common Types of Hypothesis Tests-8hv8KnvQ6JY.pt-BR.vtt	2.5 KB
02. Hypothesis Testing-9GbHHpiK6wk.en.vtt	2.6 KB
10. Types Of Errors - Part III-Z-srkCPsdaM.zh-CN.vtt	2.6 KB
12. Common Types of Hypothesis Tests-8hv8KnvQ6JY.en.vtt	2.6 KB
08. Types Of Errors - Part II-mbdSQ5CjdFs.zh-CN.vtt	2.6 KB
13. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.en.vtt	2.7 KB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.pt-BR.vtt	2.8 KB
14. Simulating From the Null-sL2yJtHZd8Y.zh-CN.vtt	2.8 KB
04. Setting Up Hypotheses - Part II-nByvHz77GiA.en.vtt	2.8 KB
13. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.pt-BR.vtt	2.8 KB
24. What If Our Sample Is Large-WoTCeSTL1eM.zh-CN.vtt	2.8 KB
04. Setting Up Hypotheses - Part II-nByvHz77GiA.pt-BR.vtt	2.9 KB
17. Calculating the p-value-_W3Jg7jQ8jI.zh-CN.vtt	2.9 KB
10. Types Of Errors - Part III-Z-srkCPsdaM.en.vtt	3.0 KB
10. Types Of Errors - Part III-Z-srkCPsdaM.pt-BR.vtt	3.0 KB
08. Types Of Errors - Part II-mbdSQ5CjdFs.pt-BR.vtt	3.1 KB
24. What If Our Sample Is Large-WoTCeSTL1eM.pt-BR.vtt	3.1 KB
08. Types Of Errors - Part II-mbdSQ5CjdFs.en.vtt	3.2 KB
24. What If Our Sample Is Large-WoTCeSTL1eM.en.vtt	3.2 KB
14. Simulating From the Null-sL2yJtHZd8Y.pt-BR.vtt	3.3 KB
14. Simulating From the Null-sL2yJtHZd8Y.en.vtt	3.4 KB
16. What Is A P-value Anyway-eU6pUZjqviA.zh-CN.vtt	3.4 KB
17. Calculating the p-value-_W3Jg7jQ8jI.pt-BR.vtt	3.7 KB
17. Calculating the p-value-_W3Jg7jQ8jI.en.vtt	3.7 KB
16. What Is A P-value Anyway-eU6pUZjqviA.en.vtt	4.2 KB
16. What Is A P-value Anyway-eU6pUZjqviA.pt-BR.vtt	4.3 KB
index.html	6.7 KB
02. Hypothesis Testing.html	8.6 KB
06. Types of Errors - Part I.html	8.7 KB
29. Hypothesis Testing Conclusion.html	8.7 KB
17. Video Calculating the p-value.html	9.2 KB
01. Introduction.html	9.4 KB
21. Conclusions in Hypothesis Testing.html	9.5 KB
26. Other Things to Consider - How Do CIs and HTs Compare.html	9.7 KB
20. Connecting Errors and P-Values.html	9.7 KB
14. Video Simulating from the Null.html	9.8 KB
25. Other Things to Consider - What if Test More Than Once.html	9.9 KB
08. Types of Errors - Part II.html	10.2 KB
10. Types of Errors - Part III.html	10.3 KB
03. Setting Up Hypothesis Tests - Part I.html	10.3 KB
04. Setting Up Hypothesis Tests - Part II.html	10.6 KB
12. Common Types of Hypothesis Tests.html	10.7 KB
13. How Do We Choose Between Hypotheses.html	10.8 KB
24. Other Things to Consider - What if Our Sample is Large.html	10.8 KB
07. Quiz Types of Errors - Part I.html	10.9 KB
16. What is a p-value Anyway.html	11.0 KB
19. Quiz Calculating a p-value.html	11.6 KB
05. Quiz Setting Up Hypothesis Tests.html	13.0 KB
18. Quiz What is a p-value Anyway.html	14.1 KB
23. Notebook + Quiz Drawing Conclusions.html	14.6 KB
11. Quiz Types of Errors - Part III.html	15.0 KB
22. Quiz Connecting Errors and P-Values.html	15.2 KB
28. Notebook + Quiz Other Things to Consider.html	17.9 KB
30. Quiz + Text Recap.html	18.4 KB
09. Quiz Types of Errors - Part II.html	18.6 KB
15. Notebook + Quiz Simulating from the Null.html	19.2 KB
27. Notebook + Quiz Other Things to Consider.html	21.1 KB
/Part 02-Module 01-Lesson 02_Functions, Installation and Conditionals/
01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.zh-CN.vtt	0.5 KB
01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.en.vtt	0.6 KB
01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.pt-BR.vtt	0.7 KB
01. Ud1110 IntroPy L201 Welcome Back!-oCCMSsCc4Iw.ar.vtt	0.7 KB
18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.zh-CN.vtt	0.7 KB
18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.en.vtt	0.8 KB
18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.pt-BR.vtt	0.8 KB
18. Ud1110 IntroPy L250 End Of Lesson 2-UhvyD_60esQ.ar.vtt	1.1 KB
12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.zh-CN.vtt	1.5 KB
12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.pt-BR.vtt	1.6 KB
12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.en.vtt	1.7 KB
05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.pt-BR.vtt	1.9 KB
05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.en.vtt	2.0 KB
05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.zh-CN.vtt	2.0 KB
12. Ud1110 IntroPy L237 Break Up Your Code Ideas-qrp8r48BPUs.ar.vtt	2.2 KB
05. Ud1110 IntroPy L212 Put A Python In Your Computer-P-Lr3WED7pg.ar.vtt	2.6 KB
06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.zh-CN.vtt	2.7 KB
06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.pt-BR.vtt	2.7 KB
06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.en.vtt	2.9 KB
06. Ud1110 IntroPy L218 My Python Programming Setup-wrnov8J5zto.ar.vtt	3.9 KB
index.html	5.1 KB
04. Defining Functions III.html	6.9 KB
01. Welcome Back!.html	7.0 KB
11. Code with Branches V.html	7.2 KB
16. Building Program Pieces III.html	8.9 KB
15. Building Program Pieces II.html	9.1 KB
14. Building Program Pieces I.html	9.6 KB
17. Building Program Pieces IV.html	9.6 KB
12. Breaking Programs Into Smaller Pieces.html	10.2 KB
10. Code with Branches IV.html	10.2 KB
18. Putting together the Pieces.html	10.4 KB
06. Python Programming Setup.html	11.3 KB
13. Outlining and Building a Program.html	12.4 KB
02. Defining Functions I.html	13.3 KB
03. Defining Functions II.html	14.0 KB
07. Code with Branches I.html	16.1 KB
08. Code with Branches II.html	16.2 KB
09. Code with Branches III.html	16.6 KB
05. Put a Python In Your Computer.html	19.7 KB
/Part 11-Module 01-Lesson 06_Undoing Changes/
05. Undoing Changes--_PPVk2UZMU.zh-CN.vtt	0.6 KB
05. Undoing Changes--_PPVk2UZMU.pt-BR.vtt	0.6 KB
05. Undoing Changes--_PPVk2UZMU.en.vtt	0.7 KB
06. Course Outro-twn_cheqoK8.pt-BR.vtt	0.9 KB
05. Undoing Changes--_PPVk2UZMU.ar.vtt	0.9 KB
06. Course Outro-twn_cheqoK8.zh-CN.vtt	0.9 KB
06. Course Outro-twn_cheqoK8.en.vtt	1.0 KB
06. Course Outro-twn_cheqoK8.ar.vtt	1.3 KB
01. Undoing Changes - Intro-Kfi7l41wUVc.pt-BR.vtt	1.8 KB
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04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.zh-CN.vtt	2.5 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.pt-BR.vtt	2.7 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.en.vtt	2.9 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.ar.vtt	3.7 KB
index.html	3.9 KB
05. Lesson Outro.html	5.3 KB
01. Intro.html	5.4 KB
06. Course Outro.html	5.9 KB
02. Modifying The Last Commit.html	7.0 KB
03. Reverting A Commit.html	8.6 KB
04. Resetting Commits.html	23.7 KB
/Part 02-Module 01-Lesson 03_Data Structures and Loops/
01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.zh-CN.vtt	0.6 KB
01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.en.vtt	0.6 KB
01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.pt-BR.vtt	0.6 KB
01. Ud1110 IntroPy L301 Welcome To Lesson 3-ikOWhrOUgLc.ar.vtt	1.0 KB
08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.pt-BR.vtt	1.3 KB
08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.zh-CN.vtt	1.5 KB
08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.en.vtt	1.5 KB
08. Ud1110 IntroPy L3 37 Reading Existing Code-0Pg3HryU9Z4.ar.vtt	2.2 KB
18. Problem Solving Skills-el9knzvU4TM.zh-CN.vtt	2.6 KB
18. Problem Solving Skills-el9knzvU4TM.en.vtt	2.9 KB
18. Problem Solving Skills-el9knzvU4TM.pt-BR.vtt	3.2 KB
18. Problem Solving Skills-el9knzvU4TM.ar.vtt	3.9 KB
index.html	4.7 KB
13. Dictionaries II.html	6.6 KB
07. While Loops II.html	6.6 KB
01. Welcome Back!.html	6.6 KB
18. Problem Solving Skills.html	6.8 KB
09. Reorganizing Code II.html	6.9 KB
17. Compound Data Structures II.html	6.9 KB
11. Sets II.html	7.0 KB
15. Dictionaries IV.html	7.6 KB
03. Lists II.html	8.0 KB
05. For Loops II.html	8.4 KB
12. Dictionaries.html	8.8 KB
10. Sets.html	11.4 KB
16. Compound Data Structures.html	16.1 KB
08. Reorganizing Code.html	16.7 KB
06. While Loops.html	17.2 KB
04. For Loops.html	19.6 KB
02. Lists.html	31.1 KB
14. Dictionaries III.html	33.6 KB
/Part 04-Module 01-Lesson 01_Descriptive Statistics - Part I/
17. Measures of Center - The Mode-NE81NZgECqg.zh-CN.vtt	0.6 KB
17. Measures of Center - The Mode-NE81NZgECqg.pt-BR.vtt	0.6 KB
17. Measures of Center - The Mode-NE81NZgECqg.en.vtt	0.7 KB
09. Data Types Summary-T-KrQoAJUpI.zh-CN.vtt	0.8 KB
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04. What is Data-ldTDAjrVsA8.zh-CN.vtt	1.2 KB
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08. Continuous vs. Discrete Data-BzgZebZD9kk.ar.vtt	2.3 KB
24. There Must Be A Better Way-oBp8YX2AgJw.ar.vtt	2.3 KB
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12. Introduction to Summary Statistics-PCZmHCrcMcw.en.vtt	2.4 KB
13. Calculating the Mean-1nzZxmJ8xvU.en.vtt	2.4 KB
22. Random Observed Values-KFIt2OC3wCI.zh-CN.vtt	2.4 KB
15. The Median-WlT3eeW0rb0.en.vtt	2.5 KB
25. Aggregations-ADx1x2ljFB4.zh-CN.vtt	2.6 KB
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13. Calculating the Mean-1nzZxmJ8xvU.pt-BR.vtt	2.6 KB
05. Data Types-gT6EYlsLZkE.ar.vtt	2.7 KB
15. The Median-WlT3eeW0rb0.pt-BR.vtt	2.7 KB
22. Random Observed Values-KFIt2OC3wCI.en.vtt	2.8 KB
25. Aggregations-ADx1x2ljFB4.pt-BR.vtt	2.9 KB
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25. Aggregations-ADx1x2ljFB4.en.vtt	3.0 KB
22. Random Observed Values-KFIt2OC3wCI.pt-BR.vtt	3.0 KB
13. Calculating the Mean-1nzZxmJ8xvU.ar.vtt	3.2 KB
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25. Aggregations-ADx1x2ljFB4.ar.vtt	3.6 KB
22. Random Observed Values-KFIt2OC3wCI.ar.vtt	3.6 KB
20. Notation for Random Variables-8NxTW1u4s-Y.zh-CN.vtt	4.3 KB
20. Notation for Random Variables-8NxTW1u4s-Y.en.vtt	4.8 KB
20. Notation for Random Variables-8NxTW1u4s-Y.pt-BR.vtt	5.2 KB
20. Notation for Random Variables-8NxTW1u4s-Y.ar.vtt	6.3 KB
index.html	6.4 KB
04. Video What is Data Why is it important.html	8.4 KB
09. Video Data Types Summary.html	8.4 KB
01. Introduce Instructors.html	8.5 KB
12. Video Introduction to Summary Statistics.html	8.6 KB
03. Video Welcome!.html	8.6 KB
02. Text Optional Lessons Note.html	8.7 KB
05. Video Data Types (Quantitative vs. Categorical).html	8.9 KB
07. Video Data Types (Ordinal vs. Nominal).html	9.2 KB
08. Video Data Types (Continuous vs. Discrete).html	9.3 KB
24. Video Better Way.html	9.4 KB
17. Video Measures of Center (Mode).html	9.4 KB
15. Video Measures of Center (Median).html	9.8 KB
11. Data Types (Continuous vs. Discrete).html	9.9 KB
26. Video Notation for the Mean.html	9.9 KB
13. Video Measures of Center (Mean).html	10.0 KB
16. Measures of Center (Median).html	10.2 KB
21. Quiz Variable Types.html	10.6 KB
19. Video What is Notation.html	10.7 KB
29. Text Summary on Notation.html	10.9 KB
14. Measures of Center (Mean).html	10.9 KB
20. Video Random Variables.html	11.4 KB
22. Video Capital vs. Lower.html	11.6 KB
27. Quiz Summation.html	11.7 KB
25. Video Summation.html	11.8 KB
23. Quiz Introduction to Notation.html	12.0 KB
28. Quiz Notation for the Mean.html	14.3 KB
10. Text + Quiz Data Types (Ordinal vs. Nominal).html	15.1 KB
18. Measures of Center (Mode).html	15.5 KB
06. Quiz Data Types (Quantitative vs. Categorical).html	15.9 KB
/Part 03-Module 03-Lesson 07_[Advanced] SQL Advanced JOINs & Performance Tuning/
11. UNION Motivation-0eRr2K8lo-I.zh-CN.vtt	0.6 KB
19. Congratulations!-_FPpbuuW-1o.pt-BR.vtt	0.6 KB
11. UNION 2-so5zydnbYEg.zh-CN.vtt	0.6 KB
11. UNION Motivation-0eRr2K8lo-I.en.vtt	0.7 KB
11. UNION Motivation-0eRr2K8lo-I.pt-BR.vtt	0.7 KB
11. UNION 2-so5zydnbYEg.en.vtt	0.7 KB
11. UNION 2-so5zydnbYEg.pt-BR.vtt	0.7 KB
19. Congratulations!-_FPpbuuW-1o.zh-CN.vtt	0.7 KB
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05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.zh-CN.vtt	0.8 KB
19. Congratulations!-_FPpbuuW-1o.en.vtt	0.8 KB
01. Introduction to Advanced SQL-i0VaVPIKUks.pt-BR.vtt	0.8 KB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.en.vtt	0.8 KB
14. Performance Tuning Motivation-aY4_uYWEuoE.zh-CN.vtt	0.9 KB
11. UNION 3-oVGmi4zBOT8.zh-CN.vtt	0.9 KB
11. UNION Motivation-0eRr2K8lo-I.ar.vtt	0.9 KB
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01. Introduction to Advanced SQL-i0VaVPIKUks.en.vtt	0.9 KB
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11. UNION 2-so5zydnbYEg.ar.vtt	0.9 KB
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14. Performance Tuning Motivation-aY4_uYWEuoE.en.vtt	1.0 KB
19. Congratulations!-_FPpbuuW-1o.ar.vtt	1.0 KB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.ar.vtt	1.1 KB
01. Introduction to Advanced SQL-i0VaVPIKUks.ar.vtt	1.2 KB
14. Performance Tuning Motivation-aY4_uYWEuoE.ar.vtt	1.3 KB
11. UNION 3-oVGmi4zBOT8.ar.vtt	1.3 KB
17. Performance Tuning 3-hIAE8W6x5O8.zh-CN.vtt	1.5 KB
17. Performance Tuning 3-hIAE8W6x5O8.pt-BR.vtt	1.5 KB
11. UNION 1-APRpwqFpGwI.zh-CN.vtt	1.5 KB
17. Performance Tuning 3-hIAE8W6x5O8.en.vtt	1.6 KB
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11. UNION 1-APRpwqFpGwI.en.vtt	1.7 KB
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16. Performance Tuning 2-arMtEhSoq7E.pt-BR.vtt	2.0 KB
16. Performance Tuning 2-arMtEhSoq7E.en.vtt	2.0 KB
08. Self JOINs-tw_VzEGBOvI.zh-CN.vtt	2.1 KB
17. Performance Tuning 3-hIAE8W6x5O8.ar.vtt	2.2 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.en.vtt	2.2 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.pt-BR.vtt	2.2 KB
11. UNION 1-APRpwqFpGwI.ar.vtt	2.3 KB
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08. Self JOINs-tw_VzEGBOvI.en.vtt	2.3 KB
16. Performance Tuning 2-arMtEhSoq7E.ar.vtt	2.7 KB
15. More on Performance Tuning-ZK1FvNH10Ag.zh-CN.vtt	2.7 KB
15. More on Performance Tuning-ZK1FvNH10Ag.pt-BR.vtt	2.9 KB
15. Performance Tuning 1-5mVfYZ_bfRo.zh-CN.vtt	2.9 KB
08. Self JOINs-tw_VzEGBOvI.ar.vtt	2.9 KB
18. Joining Subqueries-rxy-fE5GeLY.zh-CN.vtt	3.0 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.ar.vtt	3.1 KB
15. More on Performance Tuning-ZK1FvNH10Ag.en.vtt	3.1 KB
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15. More on Performance Tuning-ZK1FvNH10Ag.ar.vtt	4.2 KB
18. Joining Subqueries-rxy-fE5GeLY.ar.vtt	4.7 KB
15. Performance Tuning 1-5mVfYZ_bfRo.ar.vtt	4.8 KB
index.html	5.3 KB
19. Video SQL Completion Congratulations.html	7.1 KB
17. Video Performance Tuning 3.html	7.1 KB
16. Video Performance Tuning 2.html	7.1 KB
01. Video Introduction to Advanced SQL.html	7.2 KB
14. Video Performance Tuning Motivation.html	7.2 KB
08. Video Self JOINs.html	7.4 KB
13. Solutions UNION.html	8.0 KB
10. Solutions Self JOINs.html	8.1 KB
07. Solutions JOINs with Comparison Operators.html	8.2 KB
04. Solutions FULL OUTER JOIN.html	8.3 KB
05. Video JOINs with Comparison Operators.html	8.7 KB
09. Quiz Self JOINs.html	8.8 KB
18. Video JOINing Subqueries.html	8.9 KB
03. Quiz FULL OUTER JOIN.html	9.6 KB
06. Quiz JOINs with Comparison Operators.html	10.0 KB
11. Video UNION.html	10.1 KB
15. Video + Quiz Performance Tuning 1.html	10.8 KB
02. Text + Images FULL OUTER JOIN.html	11.3 KB
12. Quizzes UNION.html	12.8 KB
/Part 11-Module 01-Lesson 05_Tagging, Branching, and Merging/
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04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.en.vtt	0.7 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.ar.vtt	0.8 KB
07. Outro-ot4fPX1jzOI.pt-BR.vtt	1.1 KB
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02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.pt-BR.vtt	1.6 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.pt-BR.vtt	1.6 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.zh-CN.vtt	1.6 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.zh-CN.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.en.vtt	1.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.pt-BR.vtt	1.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.zh-CN.vtt	1.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.en.vtt	1.8 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.en.vtt	1.9 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.ar.vtt	2.2 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.ar.vtt	2.4 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.ar.vtt	2.6 KB
index.html	3.9 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.zh-CN.vtt	4.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.pt-BR.vtt	4.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.en.vtt	5.0 KB
07. Outro.html	5.3 KB
01. Intro.html	5.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.ar.vtt	6.6 KB
05. Merging.html	17.4 KB
02. Tagging.html	18.7 KB
03. Branching.html	19.6 KB
06. Merge Conflicts.html	20.5 KB
04. Branching Effectively.html	28.6 KB
/Part 08-Module 02-Lesson 01_Gathering Data/
07. Flat Files in Python -cUmcLjWgxwM.zh-CN.vtt	0.6 KB
07. Flat Files in Python -cUmcLjWgxwM.en.vtt	0.7 KB
07. Flat Files in Python -cUmcLjWgxwM.pt-BR.vtt	0.7 KB
07. Flat Files in Python -cUmcLjWgxwM.ar.vtt	0.8 KB
25. You Can Iterate-QsJqoJYhTiw.zh-CN.vtt	1.0 KB
12. Source Downloading Files From The Internet II-M0qR7to1fl4.en.vtt	1.1 KB
12. Source Downloading Files From The Internet II-M0qR7to1fl4.zh-CN.vtt	1.1 KB
25. You Can Iterate-QsJqoJYhTiw.en.vtt	1.1 KB
09. HTML File Structure -4ef_Dr_SXTw.zh-CN.vtt	1.1 KB
09. HTML File Structure -4ef_Dr_SXTw.en.vtt	1.1 KB
09. HTML File Structure -4ef_Dr_SXTw.pt-BR.vtt	1.1 KB
27. Conclusion-IanoSiET2nA.zh-CN.vtt	1.1 KB
12. Source Downloading Files From The Internet II-M0qR7to1fl4.pt-BR.vtt	1.1 KB
25. You Can Iterate-QsJqoJYhTiw.pt-BR.vtt	1.2 KB
22. How Databases Store Data-H0C9z_sRvLE.zh-CN.vtt	1.2 KB
14. Text Files In Python 2-9YPOlROXNZM.zh-CN.vtt	1.2 KB
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27. Conclusion-IanoSiET2nA.en.vtt	1.3 KB
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27. Conclusion-IanoSiET2nA.pt-BR.vtt	1.3 KB
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22. Types Of Statements-vLvJbIz94C4.zh-CN.vtt	1.3 KB
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08. Source Scraping Webpages-ZqTad6Usf9g.zh-CN.vtt	1.6 KB
17. JSON Files In Python-8JdUknZP59Q.zh-CN.vtt	1.6 KB
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10. HTML Files in Python 1-0VZumC18UvQ.pt-BR.vtt	6.4 KB
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/Part 04-Module 01-Lesson 14_Regression/
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21. Recap-DzMi27LI5l4.zh-CN.vtt	0.8 KB
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04. Introduction to Linear Regression-RD4zbBvXDnM.zh-CN.vtt	1.6 KB
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02. Introduction to Machine Learning-pLcFPPI1L-0.zh-CN.vtt	1.8 KB
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15. Fitting A Regression Line In Python-0CiMDbEUeS4.zh-CN.vtt	1.8 KB
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10. Video What Defines A Line.html	8.7 KB
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18. Notebook + Quiz How to Interpret the Results.html	11.5 KB
20. Notebook + Quiz Your Turn - Part II.html	12.5 KB
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/Part 14-Module 01-Lesson 01_Conduct a Job Search/
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01. Introduction.html	5.4 KB
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/Part 11-Module 01-Lesson 02_Create A Git Repo/
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/Part 04-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/
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08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.zh-CN.vtt	0.7 KB
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17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.en.vtt	0.8 KB
08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.en.vtt	0.8 KB
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08. Video Introduction to Sampling Distributions Part III.html	9.4 KB
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20. Video When Does the Central Limit Theorem Not Work.html	9.7 KB
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15. Video Two Useful Theorems - Law of Large Numbers.html	10.4 KB
07. Video + Quiz Introduction to Sampling Distributions Part II.html	11.2 KB
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06. Video + Quiz Introduction to Sampling Distributions Part I.html	11.3 KB
12. Video Notation for Parameters vs. Statistics.html	12.1 KB
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18. Notebook + Quiz Central Limit Theorem.html	12.6 KB
21. Notebook + Quiz Central Limit Theorem - Part III.html	13.0 KB
09. Notebook + Quiz Sampling Distributions Python.html	15.4 KB
27. Quiz + Text Recap Next Steps.html	15.4 KB
04. Quiz Descriptive vs. Inferential (Bagels).html	17.4 KB
/Part 02-Module 01-Lesson 01_Numbers and Strings/
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01. Instructor Introduction Charlie And Phillip-8ar0mETDrZw.pt-BR.vtt	1.1 KB
12. Python Documentation-lBtG0DO_KqM.zh-CN.vtt	1.1 KB
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06. Variables II.html	10.1 KB
03. Integers and Floats.html	10.6 KB
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/Part 15-Module 02-Lesson 01_Introduction and Efficiency/
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10. Worst Case and Approximation-ZYcmui02J40.zh-CN.vtt	4.0 KB
08. Notation Intro-xHwIU4j3gBc.pt-BR.vtt	4.1 KB
08. Notation Intro-xHwIU4j3gBc.en.vtt	4.2 KB
08. Notation Intro-xHwIU4j3gBc.en-US.vtt	4.2 KB
index.html	4.3 KB
10. Worst Case and Approximation-ZYcmui02J40.pt-BR.vtt	4.4 KB
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04. Syntax.html	5.8 KB
07. Efficiency.html	5.8 KB
03. Course Expectations.html	5.9 KB
09. Notation Continued.html	5.9 KB
01. Course Introduction.html	5.9 KB
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06. Python The Basics.html	9.3 KB
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05. Python Practice.html	10.6 KB
/Part 03-Module 03-Lesson 03_SQL Aggregations/
09. MIN MAX-1ewVsgWUih8.zh-CN.vtt	0.7 KB
09. MIN MAX-1ewVsgWUih8.en.vtt	0.8 KB
09. MIN MAX-1ewVsgWUih8.pt-BR.vtt	0.8 KB
06. SUM-0zUP14PeiXk.zh-CN.vtt	1.0 KB
02. NULLs-WYUkLKn6XCw.zh-CN.vtt	1.0 KB
09. MIN MAX-1ewVsgWUih8.ar.vtt	1.1 KB
02. NULLs-WYUkLKn6XCw.en.vtt	1.1 KB
06. SUM-0zUP14PeiXk.en.vtt	1.1 KB
19. DISTINCT-YDJEHkgKORY.zh-CN.vtt	1.2 KB
06. SUM-0zUP14PeiXk.pt-BR.vtt	1.2 KB
02. NULLs-WYUkLKn6XCw.pt-BR.vtt	1.2 KB
16. GROUP BY Part II-0HQ-TshNNQA.zh-CN.vtt	1.2 KB
10. AVG-diqCDztOL64.zh-CN.vtt	1.2 KB
04. COUNT-b4FCWAEGmLg.zh-CN.vtt	1.3 KB
19. DISTINCT-YDJEHkgKORY.pt-BR.vtt	1.3 KB
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16. GROUP BY Part II-0HQ-TshNNQA.en.vtt	1.4 KB
10. AVG-diqCDztOL64.pt-BR.vtt	1.4 KB
06. SUM-0zUP14PeiXk.ar.vtt	1.4 KB
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04. COUNT-b4FCWAEGmLg.en.vtt	1.5 KB
10. AVG-diqCDztOL64.en.vtt	1.5 KB
02. NULLs-WYUkLKn6XCw.ar.vtt	1.6 KB
05. COUNT NULLs-ngxgqfFFFLQ.zh-CN.vtt	1.6 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.zh-CN.vtt	1.6 KB
04. COUNT-b4FCWAEGmLg.pt-BR.vtt	1.7 KB
16. GROUP BY Part II-0HQ-TshNNQA.ar.vtt	1.7 KB
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30. CASE Statements and Aggregations-asSXB6iD3z4.en.vtt	1.8 KB
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04. COUNT-b4FCWAEGmLg.ar.vtt	1.9 KB
10. AVG-diqCDztOL64.ar.vtt	1.9 KB
05. COUNT NULLs-ngxgqfFFFLQ.en.vtt	1.9 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.pt-BR.vtt	1.9 KB
03. Data Types and NULLs-RgTcYwKqtYI.zh-CN.vtt	2.0 KB
05. COUNT NULLs-ngxgqfFFFLQ.pt-BR.vtt	2.0 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.ar.vtt	2.3 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.zh-CN.vtt	2.3 KB
03. Data Types and NULLs-RgTcYwKqtYI.pt-BR.vtt	2.3 KB
03. Data Types and NULLs-RgTcYwKqtYI.en.vtt	2.3 KB
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05. COUNT NULLs-ngxgqfFFFLQ.ar.vtt	2.6 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.en.vtt	2.6 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.pt-BR.vtt	2.8 KB
13. GROUP BY-9vb67TF4WV0.zh-CN.vtt	2.9 KB
25. DATE Functions I-E7Z6GMFVmIY.zh-CN.vtt	3.1 KB
03. Data Types and NULLs-RgTcYwKqtYI.ar.vtt	3.1 KB
13. GROUP BY-9vb67TF4WV0.en.vtt	3.2 KB
13. GROUP BY-9vb67TF4WV0.pt-BR.vtt	3.4 KB
25. DATE Functions I-E7Z6GMFVmIY.en.vtt	3.6 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.ar.vtt	3.6 KB
25. DATE Functions I-E7Z6GMFVmIY.pt-BR.vtt	3.7 KB
26. DATE Functions Part II-UPWkDhW4cLI.zh-CN.vtt	3.9 KB
13. GROUP BY-9vb67TF4WV0.ar.vtt	4.1 KB
26. DATE Functions Part II-UPWkDhW4cLI.en.vtt	4.3 KB
26. DATE Functions Part II-UPWkDhW4cLI.pt-BR.vtt	4.3 KB
29. 11 CASE V2-BInXuTY_FzE.zh-CN.vtt	4.5 KB
25. DATE Functions I-E7Z6GMFVmIY.ar.vtt	5.1 KB
29. 11 CASE V2-BInXuTY_FzE.en.vtt	5.3 KB
29. 11 CASE V2-BInXuTY_FzE.pt-BR.vtt	5.6 KB
index.html	6.1 KB
26. DATE Functions Part II-UPWkDhW4cLI.ar.vtt	6.1 KB
29. 11 CASE V2-BInXuTY_FzE.ar.vtt	6.4 KB
33. Text Recap.html	8.5 KB
02. Video Introduction to NULLs.html	8.5 KB
22. Video HAVING.html	8.6 KB
05. Video COUNT NULLs.html	8.6 KB
01. Video Introduction to Aggregation.html	8.6 KB
06. Video SUM.html	9.0 KB
30. Video CASE Aggregations.html	9.1 KB
10. Video AVG.html	9.1 KB
20. Quiz DISTINCT.html	9.1 KB
19. Video DISTINCT.html	9.2 KB
09. Video MIN MAX.html	9.2 KB
25. Video DATE Functions.html	9.3 KB
03. Video NULLs and Aggregation.html	9.3 KB
16. Video GROUP BY Part II.html	9.6 KB
07. Quiz SUM.html	9.7 KB
04. Video + Text First Aggregation - COUNT.html	9.8 KB
27. Quiz DATE Functions.html	9.9 KB
13. Video GROUP BY.html	9.9 KB
11. Quiz MIN, MAX, AVG.html	9.9 KB
26. Video DATE Functions II.html	10.0 KB
21. Solutions DISTINCT.html	10.1 KB
08. Solution SUM.html	10.2 KB
17. Quiz GROUP BY Part II.html	10.3 KB
18. Solutions GROUP BY Part II.html	10.9 KB
14. Quiz GROUP BY.html	11.0 KB
12. Solutions MIN, MAX, AVG.html	11.1 KB
31. Quiz CASE.html	11.2 KB
15. Solutions GROUP BY.html	11.5 KB
28. Solutions DATE Functions.html	11.7 KB
29. Video CASE Statements.html	11.8 KB
23. HAVING.html	11.8 KB
24. Solutions HAVING.html	12.2 KB
32. Solutions CASE.html	12.5 KB
/Part 18-Module 01-Lesson 04_Functions/
18. Conclusion-QRnLr7pwHyk.zh-CN.vtt	0.7 KB
18. Conclusion-QRnLr7pwHyk.pt-BR.vtt	0.7 KB
18. Conclusion-QRnLr7pwHyk.en.vtt	0.8 KB
18. Conclusion-QRnLr7pwHyk.ar.vtt	1.0 KB
05. Variable Scope-rYubQlAM-gw.zh-CN.vtt	1.1 KB
05. Variable Scope-rYubQlAM-gw.en.vtt	1.3 KB
01. Introduction-p5L4rTV1Pgk.zh-CN.vtt	1.3 KB
01. Introduction-p5L4rTV1Pgk.en.vtt	1.4 KB
01. Introduction-p5L4rTV1Pgk.pt-BR.vtt	1.5 KB
05. Variable Scope-rYubQlAM-gw.pt-BR.vtt	1.6 KB
05. Variable Scope-rYubQlAM-gw.ar.vtt	1.6 KB
01. Introduction-p5L4rTV1Pgk.ar.vtt	1.8 KB
02. Default Arguments-cG6UfBZX2KI.zh-CN.vtt	1.9 KB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.zh-CN.vtt	2.0 KB
02. Default Arguments-cG6UfBZX2KI.en.vtt	2.1 KB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.en.vtt	2.2 KB
08. Documentation-_Vl9NJkA6JQ.zh-CN.vtt	2.4 KB
02. Default Arguments-cG6UfBZX2KI.pt-BR.vtt	2.5 KB
14. Iterators And Generators-tYH8X4Zeh-0.zh-CN.vtt	2.5 KB
14. Iterators And Generators-tYH8X4Zeh-0.en.vtt	2.7 KB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.pt-BR.vtt	2.7 KB
08. Documentation-_Vl9NJkA6JQ.en.vtt	2.8 KB
02. Default Arguments-cG6UfBZX2KI.ar.vtt	2.8 KB
14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt	3.0 KB
08. Documentation-_Vl9NJkA6JQ.pt-BR.vtt	3.1 KB
08. Documentation-_Vl9NJkA6JQ.ar.vtt	3.5 KB
14. Iterators And Generators-tYH8X4Zeh-0.ar.vtt	3.5 KB
02. Defining Functions-IP_tJYhynbc.zh-CN.vtt	4.9 KB
index.html	5.1 KB
02. Defining Functions-IP_tJYhynbc.en.vtt	5.5 KB
02. Defining Functions-IP_tJYhynbc.pt-BR.vtt	6.1 KB
02. Defining Functions-IP_tJYhynbc.ar.vtt	6.8 KB
19. Further Learning.html	6.9 KB
17. [Optional] Generator Expressions.html	6.9 KB
13. Solution Lambda Expressions.html	7.3 KB
06. Variable Scope.html	7.4 KB
01. Introduction.html	7.4 KB
18. Conclusion.html	7.5 KB
10. Solution Documentation.html	7.5 KB
07. Solution Variable Scope.html	7.6 KB
09. Quiz Documentation.html	7.8 KB
16. [Optional] Solution Iterators and Generators.html	7.9 KB
04. Solution Defining Functions.html	8.1 KB
11. Lambda Expressions.html	8.5 KB
08. Documentation.html	9.0 KB
14. [Optional] Iterators and Generators.html	9.3 KB
12. Quiz Lambda Expressions.html	9.7 KB
03. Quiz Defining Functions.html	9.7 KB
15. [Optional] Quiz Iterators and Generators.html	9.7 KB
05. Variable Scope.html	9.8 KB
02. Defining Functions.html	15.1 KB
/Part 04-Module 01-Lesson 15_Multiple Linear Regression/
26. Recap-VM6GGNC2q8I.zh-CN.vtt	0.7 KB
26. Recap-VM6GGNC2q8I.en.vtt	0.9 KB
26. Recap-VM6GGNC2q8I.pt-BR.vtt	1.0 KB
20. Interactions And Higher Order Terms-AOfXMiJgo48.zh-CN.vtt	1.0 KB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.zh-CN.vtt	1.2 KB
20. Interactions And Higher Order Terms-AOfXMiJgo48.en.vtt	1.3 KB
20. Interactions And Higher Order Terms-AOfXMiJgo48.pt-BR.vtt	1.4 KB
13. Dummy Variables Recap-r7Lek8rsIcg.zh-CN.vtt	1.4 KB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.en.vtt	1.4 KB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.zh-CN.vtt	1.5 KB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.pt-BR.vtt	1.5 KB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.pt-BR.vtt	1.6 KB
13. Dummy Variables Recap-r7Lek8rsIcg.en.vtt	1.7 KB
08. Dummy Variables--QTgDd-fZuA.zh-CN.vtt	1.7 KB
18. Multicollinearity VIFs-uiF3UcDWwPI.zh-CN.vtt	1.8 KB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.en.vtt	1.8 KB
13. Dummy Variables Recap-r7Lek8rsIcg.pt-BR.vtt	1.8 KB
15. Potential Problems-lGwB6YRThbI.zh-CN.vtt	2.0 KB
18. Multicollinearity VIFs-uiF3UcDWwPI.en.vtt	2.0 KB
08. Dummy Variables--QTgDd-fZuA.pt-BR.vtt	2.1 KB
08. Dummy Variables--QTgDd-fZuA.en.vtt	2.1 KB
18. Multicollinearity VIFs-uiF3UcDWwPI.pt-BR.vtt	2.2 KB
02. Multiple Linear Regression-rvYZp99nj6c.zh-CN.vtt	2.3 KB
15. Potential Problems-lGwB6YRThbI.en.vtt	2.4 KB
15. Potential Problems-lGwB6YRThbI.pt-BR.vtt	2.5 KB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.zh-CN.vtt	2.5 KB
23. Interpreting Interactions-XV6S2srsdxw.zh-CN.vtt	2.6 KB
02. Multiple Linear Regression-rvYZp99nj6c.pt-BR.vtt	2.7 KB
02. Multiple Linear Regression-rvYZp99nj6c.en.vtt	2.7 KB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.pt-BR.vtt	3.0 KB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.en.vtt	3.1 KB
23. Interpreting Interactions-XV6S2srsdxw.en.vtt	3.2 KB
23. Interpreting Interactions-XV6S2srsdxw.pt-BR.vtt	3.2 KB
22. Interactions Higher Order Terms-gMHwogzqPOk.zh-CN.vtt	3.8 KB
11. Dummy Variable Interpretation-TxP_TD0kbOo.zh-CN.vtt	3.9 KB
11. Dummy Variable Interpretation-TxP_TD0kbOo.pt-BR.vtt	4.3 KB
11. Dummy Variable Interpretation-TxP_TD0kbOo.en.vtt	4.4 KB
05. How Does MLR Work-bvM6eUYyurA.zh-CN.vtt	4.5 KB
22. Interactions Higher Order Terms-gMHwogzqPOk.en.vtt	4.6 KB
22. Interactions Higher Order Terms-gMHwogzqPOk.pt-BR.vtt	4.6 KB
17. Multicollinearity VIFs-wbtrXMusDe8.zh-CN.vtt	5.0 KB
05. How Does MLR Work-bvM6eUYyurA.pt-BR.vtt	5.2 KB
05. How Does MLR Work-bvM6eUYyurA.en.vtt	5.4 KB
17. Multicollinearity VIFs-wbtrXMusDe8.pt-BR.vtt	5.5 KB
17. Multicollinearity VIFs-wbtrXMusDe8.en.vtt	5.8 KB
index.html	6.3 KB
26. Video Recap.html	8.1 KB
15. Video Potential Problems.html	8.2 KB
23. Video Interpreting Interactions.html	8.2 KB
11. Screencast Dummy Variables.html	8.2 KB
20. Video Higher Order Terms.html	8.3 KB
22. Screencast How to Add Higher Order Terms.html	8.3 KB
03. Screencast Fitting A Multiple Linear Regression Model.html	8.4 KB
27. Text Recap.html	8.8 KB
13. Video Dummy Variables Recap.html	8.8 KB
17. Screencast Multicollinearity VIFs.html	9.1 KB
06. Video Multiple Linear Regression Model Results.html	9.3 KB
02. Video Multiple Linear Regression.html	9.4 KB
08. Video Dummy Variables.html	9.4 KB
09. Text Dummy Variables.html	9.5 KB
05. Screencast + Text How Does MLR Work.html	9.5 KB
01. Video Introduction.html	10.0 KB
18. Video Multicollinearity VIFs.html	10.5 KB
21. Text Higher Order Terms.html	11.1 KB
24. Text Interpreting Interactions.html	11.8 KB
10. Dummy Variables.html	13.0 KB
14. [Optional] Notebook + Quiz Other Encodings.html	13.4 KB
19. Notebook + Quiz Multicollinearity VIFs.html	14.0 KB
16. [Optional] Text Linear Model Assumptions.html	14.7 KB
07. Quiz Interpreting Coefficients in MLR.html	17.6 KB
25. Notebook + Quiz Interpreting Model Coefficients.html	17.9 KB
12. Notebook + Quiz Dummy Variables.html	18.8 KB
04. Notebook + Quiz Fitting A MLR Model.html	19.1 KB
/Part 04-Module 01-Lesson 11_Confidence Intervals/
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.zh-CN.vtt	0.7 KB
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt	0.9 KB
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.pt-BR.vtt	1.0 KB
07. Confidence Intervals Applications-C0wgmeRx9yE.zh-CN.vtt	1.3 KB
01. Confidence Intervals Introduction-crleT4000ak.zh-CN.vtt	1.4 KB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.zh-CN.vtt	1.4 KB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.zh-CN.vtt	1.4 KB
07. Confidence Intervals Applications-C0wgmeRx9yE.en.vtt	1.6 KB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.pt-BR.vtt	1.6 KB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.en.vtt	1.6 KB
07. Confidence Intervals Applications-C0wgmeRx9yE.pt-BR.vtt	1.7 KB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.en.vtt	1.7 KB
01. Confidence Intervals Introduction-crleT4000ak.en.vtt	1.7 KB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.zh-CN.vtt	1.8 KB
01. Confidence Intervals Introduction-crleT4000ak.pt-BR.vtt	1.8 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.zh-CN.vtt	1.8 KB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.pt-BR.vtt	1.9 KB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.zh-CN.vtt	1.9 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.pt-BR.vtt	2.1 KB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.pt-BR.vtt	2.2 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.en.vtt	2.2 KB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.en.vtt	2.3 KB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.en.vtt	2.3 KB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.zh-CN.vtt	2.4 KB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.pt-BR.vtt	2.5 KB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.pt-BR.vtt	2.6 KB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.zh-CN.vtt	2.7 KB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.zh-CN.vtt	2.8 KB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.en.vtt	2.8 KB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.pt-BR.vtt	3.1 KB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.en.vtt	3.2 KB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.en.vtt	3.4 KB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.pt-BR.vtt	3.4 KB
index.html	5.7 KB
01. Video Introduction.html	7.4 KB
16. Video Confidence Intervals Hypothesis Tests.html	7.5 KB
07. Video Confidence Interval Applications.html	8.0 KB
11. ScreenCast Traditional Confidence Interval Methods.html	8.2 KB
03. ScreenCast Sampling Distributions and Confidence Intervals.html	8.2 KB
08. Video Statistical vs. Practical Significance.html	8.3 KB
14. Video Correct Interpretations of Confidence Intervals.html	8.3 KB
09. Statistical vs. Practical Significance.html	8.3 KB
02. Video From Sampling Distributions to Confidence Intervals.html	8.4 KB
12. Video Other Language Associated with Confidence Intervals.html	8.5 KB
05. ScreenCast Difference In Means.html	8.5 KB
10. Video Traditional Confidence Intervals.html	9.1 KB
15. Correct Interpretations of Confidence Intervals.html	9.5 KB
13. Other Language Associated with Confidence Intervals.html	10.8 KB
17. Text Recap + Next Steps.html	11.2 KB
06. Notebook + Quiz Difference in Means.html	16.4 KB
04. Notebook + Quiz Building Confidence Intervals.html	16.6 KB
/Part 15-Module 02-Lesson 05_Trees/
01. Trees-PXie7f22v2Q.zh-CN.vtt	0.7 KB
01. Trees-PXie7f22v2Q.pt-BR.vtt	0.9 KB
01. Trees-PXie7f22v2Q.en.vtt	0.9 KB
01. Trees-PXie7f22v2Q.en-US.vtt	0.9 KB
10. Binary Search Trees-7-ZQrugO-Yc.zh-CN.vtt	1.0 KB
10. Binary Search Trees-7-ZQrugO-Yc.pt-BR.vtt	1.0 KB
10. Binary Search Trees-7-ZQrugO-Yc.en.vtt	1.0 KB
10. Binary Search Trees-7-ZQrugO-Yc.en-US.vtt	1.1 KB
13. BST Complications-pcB0wV7myy4.pt-BR.vtt	1.3 KB
16. Heapify-CAbDbiCfERY.zh-CN.vtt	1.6 KB
02. Tree Basics-oaxLPzaXRDc.zh-CN.vtt	1.8 KB
16. Heapify-CAbDbiCfERY.pt-BR.vtt	1.8 KB
16. Heapify-CAbDbiCfERY.en.vtt	1.9 KB
16. Heapify-CAbDbiCfERY.en-US.vtt	1.9 KB
02. Tree Basics-oaxLPzaXRDc.pt-BR.vtt	2.0 KB
02. Tree Basics-oaxLPzaXRDc.en.vtt	2.0 KB
02. Tree Basics-oaxLPzaXRDc.en-US.vtt	2.0 KB
08. Search and Delete-KbL-HK3ztX8.pt-BR.vtt	2.0 KB
08. Search and Delete-KbL-HK3ztX8.zh-CN.vtt	2.1 KB
18. Self-Balancing Trees-EHI548K3jiw.zh-CN.vtt	2.2 KB
20. Tree Rotations-O5Yl-m0YbVA.zh-CN.vtt	2.2 KB
17. Heap Implementation-2LAdml6_pDY.zh-CN.vtt	2.2 KB
05. Tree Traversal-KZOdmzypynw.zh-CN.vtt	2.3 KB
13. BST Complications-pcB0wV7myy4.zh-CN.vtt	2.3 KB
17. Heap Implementation-2LAdml6_pDY.pt-BR.vtt	2.3 KB
03. Tree Terminology-mPUsDUR_sj8.zh-CN.vtt	2.3 KB
08. Search and Delete-KbL-HK3ztX8.en.vtt	2.3 KB
08. Search and Delete-KbL-HK3ztX8.en-US.vtt	2.3 KB
18. Self-Balancing Trees-EHI548K3jiw.pt-BR.vtt	2.3 KB
12. BSTs-abRNGLhGUmE.zh-CN.vtt	2.4 KB
20. Tree Rotations-O5Yl-m0YbVA.pt-BR.vtt	2.4 KB
20. Tree Rotations-O5Yl-m0YbVA.en.vtt	2.4 KB
20. Tree Rotations-O5Yl-m0YbVA.en-US.vtt	2.4 KB
03. Tree Terminology-mPUsDUR_sj8.pt-BR.vtt	2.5 KB
18. Self-Balancing Trees-EHI548K3jiw.en.vtt	2.5 KB
18. Self-Balancing Trees-EHI548K3jiw.en-US.vtt	2.5 KB
17. Heap Implementation-2LAdml6_pDY.en.vtt	2.5 KB
17. Heap Implementation-2LAdml6_pDY.en-US.vtt	2.5 KB
05. Tree Traversal-KZOdmzypynw.pt-BR.vtt	2.6 KB
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03. Tree Terminology-mPUsDUR_sj8.en.vtt	2.6 KB
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19. Red-Black Trees - Insertion-dIuWLtWnkgs.zh-CN.vtt	2.6 KB
05. Tree Traversal-KZOdmzypynw.en.vtt	2.6 KB
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12. BSTs-abRNGLhGUmE.en.vtt	2.7 KB
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19. Red-Black Trees - Insertion-dIuWLtWnkgs.pt-BR.vtt	2.7 KB
09. Insert-j6PkPa2ZHWg.zh-CN.vtt	2.9 KB
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15. Heaps-M3B0UJWS_ag.zh-CN.vtt	2.9 KB
09. Insert-j6PkPa2ZHWg.pt-BR.vtt	2.9 KB
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15. Heaps-M3B0UJWS_ag.en.vtt	3.3 KB
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06. Depth-First Traversals-wp5ohHFTieM.zh-CN.vtt	3.8 KB
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06. Depth-First Traversals-wp5ohHFTieM.en.vtt	4.3 KB
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index.html	4.9 KB
13. BST Complications.html	6.5 KB
12. BSTs.html	6.6 KB
01. Trees.html	6.6 KB
15. Heaps.html	6.6 KB
09. Insert.html	6.6 KB
16. Heapify.html	6.6 KB
02. Tree Basics.html	6.6 KB
05. Tree Traversal.html	6.7 KB
20. Tree Rotations.html	6.7 KB
03. Tree Terminology.html	6.7 KB
08. Search and Delete.html	6.7 KB
17. Heap Implementation.html	6.7 KB
10. Binary Search Trees.html	6.7 KB
18. Self-Balancing Trees.html	6.7 KB
06. Depth-First Traversals.html	6.7 KB
19. Red-Black Trees - Insertion.html	6.8 KB
07. Tree Traversal Practice.html	7.0 KB
04. Tree Practice.html	7.8 KB
14. BST Practice.html	9.4 KB
11. Binary Tree Practice.html	9.9 KB
/Part 18-Module 01-Lesson 01_Why Python Programming/
02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt	0.7 KB
02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt	0.8 KB
02. L1 01 Intro V3-yyNtiUyI5Tw.pt-BR.vtt	1.0 KB
02. L1 01 Intro V3-yyNtiUyI5Tw.ar.vtt	1.0 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.zh-CN.vtt	1.1 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.en.vtt	1.2 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.pt-BR.vtt	1.4 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.ar.vtt	1.7 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.zh-CN.vtt	2.2 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.en.vtt	2.5 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt	2.9 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.ar.vtt	3.5 KB
index.html	3.8 KB
01. Instructor.html	5.3 KB
03. Programming in Python.html	5.7 KB
02. Welcome to the Course!.html	6.0 KB
04. Course Overview.html	6.6 KB
/Part 07-Module 01-Lesson 01_What is EDA/
07. The Growth of Televisions-r5qca6q4Fn4.zh-CN.vtt	0.7 KB
07. The Growth of Televisions-r5qca6q4Fn4.pt-BR.vtt	0.8 KB
07. The Growth of Televisions-r5qca6q4Fn4.en.vtt	0.9 KB
07. The Growth of Televisions-r5qca6q4Fn4.ja.vtt	0.9 KB
07. The Growth of Televisions-r5qca6q4Fn4.ar.vtt	1.1 KB
02. Data is Ubiquitous-ieiQqLicBjg.zh-CN.vtt	1.3 KB
08. Our Approach for This Course-dBsf-szQ00s.zh-CN.vtt	1.3 KB
10. Course Overview-W8N0aSMPff8.zh-CN.vtt	1.4 KB
02. Data is Ubiquitous-ieiQqLicBjg.pt-BR.vtt	1.4 KB
02. Data is Ubiquitous-ieiQqLicBjg.en.vtt	1.4 KB
08. Our Approach for This Course-dBsf-szQ00s.ja.vtt	1.5 KB
02. Data is Ubiquitous-ieiQqLicBjg.ja.vtt	1.5 KB
08. Our Approach for This Course-dBsf-szQ00s.en.vtt	1.6 KB
10. Course Overview-W8N0aSMPff8.en.vtt	1.6 KB
08. Our Approach for This Course-dBsf-szQ00s.pt-BR.vtt	1.7 KB
05. Aude's Interest in Data-DDNSMG_RltY.zh-CN.vtt	1.7 KB
10. Course Overview-W8N0aSMPff8.pt-BR.vtt	1.7 KB
10. Course Overview-W8N0aSMPff8.ja.vtt	1.8 KB
05. Aude's Interest in Data-DDNSMG_RltY.ja.vtt	1.9 KB
03. Go Exploring-dias-YUpewk.zh-CN.vtt	1.9 KB
02. Data is Ubiquitous-ieiQqLicBjg.ar.vtt	1.9 KB
05. Aude's Interest in Data-DDNSMG_RltY.pt-BR.vtt	2.0 KB
05. Aude's Interest in Data-DDNSMG_RltY.en.vtt	2.0 KB
03. Go Exploring-dias-YUpewk.pt-BR.vtt	2.0 KB
03. Go Exploring-dias-YUpewk.en.vtt	2.1 KB
08. Our Approach for This Course-dBsf-szQ00s.ar.vtt	2.1 KB
03. Go Exploring-dias-YUpewk.ja.vtt	2.2 KB
10. Course Overview-W8N0aSMPff8.ar.vtt	2.2 KB
07. The Growth of Televisions-GuBics_6HOk.zh-CN.vtt	2.3 KB
05. Aude's Interest in Data-DDNSMG_RltY.ar.vtt	2.6 KB
07. The Growth of Televisions-GuBics_6HOk.en.vtt	2.6 KB
07. The Growth of Televisions-GuBics_6HOk.pt-BR.vtt	2.6 KB
06. Goals of EDA-NEvuulahg2g.zh-CN.vtt	2.7 KB
07. The Growth of Televisions-GuBics_6HOk.ja.vtt	2.7 KB
03. Go Exploring-dias-YUpewk.ar.vtt	2.9 KB
06. Goals of EDA-NEvuulahg2g.en.vtt	3.0 KB
06. Goals of EDA-NEvuulahg2g.pt-BR.vtt	3.2 KB
06. Goals of EDA-NEvuulahg2g.ja.vtt	3.2 KB
02. Data is Ubiquitous-YbVuN2KOlt4.zh-CN.vtt	3.3 KB
07. The Growth of Televisions-GuBics_6HOk.ar.vtt	3.4 KB
02. Data is Ubiquitous-YbVuN2KOlt4.en.vtt	3.7 KB
02. Data is Ubiquitous-YbVuN2KOlt4.ja.vtt	3.7 KB
04. Why learn EDA-YM68DrqJw1I.zh-CN.vtt	3.9 KB
02. Data is Ubiquitous-YbVuN2KOlt4.pt-BR.vtt	3.9 KB
06. Goals of EDA-NEvuulahg2g.ar.vtt	4.0 KB
09. Aude Explores Coordinated Migration-7ihp6ofAJG8.zh-CN.vtt	4.2 KB
index.html	4.3 KB
04. Why learn EDA-YM68DrqJw1I.en.vtt	4.4 KB
04. Why learn EDA-YM68DrqJw1I.pt-BR.vtt	4.6 KB
09. Aude Explores Coordinated Migration-7ihp6ofAJG8.ja.vtt	4.6 KB
09. Aude Explores Coordinated Migration-7ihp6ofAJG8.pt-BR.vtt	4.6 KB
09. Aude Explores Coordinated Migration-7ihp6ofAJG8.en.vtt	4.7 KB
04. Why learn EDA-YM68DrqJw1I.ja.vtt	4.9 KB
02. Data is Ubiquitous-YbVuN2KOlt4.ar.vtt	5.1 KB
04. Why learn EDA-YM68DrqJw1I.ar.vtt	5.5 KB
09. Aude Explores Coordinated Migration-7ihp6ofAJG8.ar.vtt	6.1 KB
10. Course Overview.html	6.2 KB
01. Handoff to Chris Saden.html	6.2 KB
05. Aude's Interest in Data.html	6.3 KB
08. Our Approach for This Course.html	6.4 KB
06. Goals of EDA.html	6.5 KB
04. Why learn EDA.html	6.9 KB
09. Aude Explores Coordinated Migration.html	7.0 KB
03. Go Exploring.html	7.3 KB
02. Data is Ubiquitous.html	8.1 KB
07. The Growth of Televisions.html	8.6 KB
/Part 03-Module 03-Lesson 02_SQL Joins/
02. Why Not Store Everything in One Table-rvY4A6FpS40.zh-CN.vtt	0.8 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.pt-BR.vtt	0.8 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.en.vtt	0.9 KB
10. ALIAS-viWHJaxWTvw.zh-CN.vtt	1.1 KB
10. ALIAS-viWHJaxWTvw.pt-BR.vtt	1.1 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.ar.vtt	1.1 KB
10. ALIAS-viWHJaxWTvw.en.vtt	1.2 KB
01. Introduction to JOINs-YvZ010GU-Ck.zh-CN.vtt	1.4 KB
01. Introduction to JOINs-YvZ010GU-Ck.en.vtt	1.7 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.pt-BR.vtt	1.7 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.zh-CN.vtt	1.7 KB
01. Introduction to JOINs-YvZ010GU-Ck.pt-BR.vtt	1.8 KB
03. Your First JOIN-HkX9fkNRbU8.pt-BR.vtt	1.9 KB
10. ALIAS-viWHJaxWTvw.ar.vtt	1.9 KB
03. Your First JOIN-HkX9fkNRbU8.zh-CN.vtt	1.9 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.en.vtt	1.9 KB
14. JOINs-CxuHtd1Daqk.zh-CN.vtt	2.1 KB
03. Your First JOIN-HkX9fkNRbU8.en.vtt	2.1 KB
14. JOINs-CxuHtd1Daqk.en.vtt	2.4 KB
14. JOINs-CxuHtd1Daqk.pt-BR.vtt	2.5 KB
01. Introduction to JOINs-YvZ010GU-Ck.ar.vtt	2.5 KB
03. Your First JOIN-HkX9fkNRbU8.ar.vtt	2.6 KB
02. Why Use Separate Tables-UIQBtpmqYOs.zh-CN.vtt	2.6 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.ar.vtt	2.7 KB
02. Why Use Separate Tables-UIQBtpmqYOs.en.vtt	3.1 KB
18. JOINs and Filtering-aI1kbDDNs4w.pt-BR.vtt	3.2 KB
14. JOINs-CxuHtd1Daqk.ar.vtt	3.2 KB
18. JOINs and Filtering-aI1kbDDNs4w.zh-CN.vtt	3.3 KB
02. Why Use Separate Tables-UIQBtpmqYOs.pt-BR.vtt	3.3 KB
18. JOINs and Filtering-aI1kbDDNs4w.en.vtt	3.6 KB
14. Other JOINs-4edRxFmWUEw.zh-CN.vtt	3.9 KB
14. Other JOINs-4edRxFmWUEw.pt-BR.vtt	3.9 KB
02. Why Use Separate Tables-UIQBtpmqYOs.ar.vtt	4.3 KB
14. Other JOINs-4edRxFmWUEw.en.vtt	4.4 KB
18. JOINs and Filtering-aI1kbDDNs4w.ar.vtt	5.1 KB
index.html	5.4 KB
14. Other JOINs-4edRxFmWUEw.ar.vtt	6.1 KB
01. Video Motivation.html	7.3 KB
03. Video Introduction to JOINs.html	7.9 KB
18. Video JOINs and Filtering.html	8.0 KB
13. Video Motivation for Other JOINs.html	8.3 KB
05. Solution Your First JOIN.html	8.4 KB
15. Text Other JOIN Notes.html	8.5 KB
07. Text Primary and Foreign Keys.html	8.7 KB
10. Video Alias.html	9.0 KB
14. Video LEFT and RIGHT JOINs.html	9.3 KB
12. Solutions JOIN Questions Part I.html	9.7 KB
21. Text Recap Looking Ahead.html	9.8 KB
02. Video Why Would We Want to Split Data Into Separate Tables.html	9.8 KB
06. Text ERD Reminder.html	9.9 KB
09. Text + Quiz JOIN Revisited.html	11.2 KB
04. Text + Quiz Your First JOIN.html	12.4 KB
19. Quiz Last Check.html	12.7 KB
11. Quiz JOIN Questions Part I.html	13.2 KB
20. Solutions Last Check.html	13.6 KB
17. Solutions LEFT and RIGHT JOIN .html	13.8 KB
08. Quiz Primary - Foreign Key Relationship.html	13.8 KB
16. LEFT and RIGHT JOIN.html	18.2 KB
/Part 03-Module 02-Lesson 03_Data Analysis Process - Case Study 2/
01. Lesson Overview-2X8GJyZUlDo.zh-CN.vtt	0.8 KB
01. Lesson Overview-2X8GJyZUlDo.en.vtt	0.8 KB
17. Conclusion-D_ioSXAre1A.zh-CN.vtt	0.9 KB
01. Lesson Overview-2X8GJyZUlDo.pt-BR.vtt	1.0 KB
17. Conclusion-D_ioSXAre1A.en.vtt	1.0 KB
17. Conclusion-D_ioSXAre1A.pt-BR.vtt	1.1 KB
01. Lesson Overview-2X8GJyZUlDo.ar.vtt	1.1 KB
17. Conclusion-D_ioSXAre1A.ar.vtt	1.4 KB
02. Data Overview-u_qB4w4kL1o.zh-CN.vtt	1.7 KB
02. Data Overview-u_qB4w4kL1o.en.vtt	1.8 KB
02. Data Overview-u_qB4w4kL1o.pt-BR.vtt	1.9 KB
02. Data Overview-u_qB4w4kL1o.ar.vtt	2.5 KB
index.html	4.9 KB
17. Conclusion.html	6.5 KB
01. Lesson Overview.html	7.6 KB
14. Types of Merges.html	7.8 KB
02. Data Overview.html	7.9 KB
09. Fixing Data Types Pt 1.html	7.9 KB
16. Results with Merged Dataset.html	8.2 KB
06. Cleaning Column Labels.html	8.2 KB
13. Conclusions Visuals.html	8.3 KB
15. Merging Datasets.html	9.3 KB
11. Fixing Data Types Pt 3.html	9.4 KB
07. Filter, Drop Nulls, Dedupe.html	9.8 KB
10. Fixing Data Types Pt 2.html	10.0 KB
04. Asking Questions.html	10.0 KB
12. Exploring with Visuals.html	11.4 KB
03. Data Attributes.html	11.7 KB
08. Inspecting Data Types.html	12.4 KB
05. Assessing Data.html	24.5 KB
/Part 16-Module 01-Lesson 16_Tying It All Together/
03. End of Content-MFRkl-aXL8I.zh-CN.vtt	0.8 KB
03. End of Content-MFRkl-aXL8I.pt-BR.vtt	1.0 KB
03. End of Content-MFRkl-aXL8I.en.vtt	1.0 KB
03. End of Content-MFRkl-aXL8I.ar.vtt	1.3 KB
01. Introduction-8tm1144C4T0.zh-CN.vtt	1.8 KB
04. Outro-VCNcNnZ6V_s.zh-CN.vtt	2.0 KB
01. Introduction-8tm1144C4T0.en.vtt	2.2 KB
01. Introduction-8tm1144C4T0.pt-BR.vtt	2.3 KB
02. Summary-avqZaTECZTQ.zh-CN.vtt	2.3 KB
04. Outro-VCNcNnZ6V_s.pt-BR.vtt	2.5 KB
04. Outro-VCNcNnZ6V_s.en.vtt	2.5 KB
02. Summary-avqZaTECZTQ.en.vtt	2.8 KB
01. Introduction-8tm1144C4T0.ar.vtt	2.9 KB
02. Summary-avqZaTECZTQ.pt-BR.vtt	3.0 KB
04. Outro-VCNcNnZ6V_s.ar.vtt	3.2 KB
index.html	3.7 KB
02. Summary-avqZaTECZTQ.ar.vtt	3.8 KB
01. Introduction.html	5.1 KB
03. End of Content.html	5.1 KB
04. Outro.html	5.3 KB
02. Summary.html	5.3 KB
/Part 14-Module 03-Lesson 01_Craft Your Cover Letter/
06. Write the Conclusion-i3ozyhGPmIg.en.vtt	0.8 KB
06. Write the Conclusion-i3ozyhGPmIg.es-MX.vtt	0.8 KB
06. Write the Conclusion-i3ozyhGPmIg.pt-BR.vtt	0.9 KB
03. Cover Letter Components-DVvLiKedRw4.zh-CN.vtt	1.5 KB
03. Cover Letter Components-DVvLiKedRw4.es-MX.vtt	1.6 KB
03. Cover Letter Components-DVvLiKedRw4.en.vtt	1.6 KB
03. Cover Letter Components-DVvLiKedRw4.pt-BR.vtt	1.6 KB
07. Format-Xlqoq-SoJso.es-MX.vtt	1.9 KB
07. Format-Xlqoq-SoJso.pt-BR.vtt	1.9 KB
02. Purpose-7F7cMCTcyhM.es-MX.vtt	1.9 KB
07. Format-Xlqoq-SoJso.zh-CN.vtt	2.0 KB
02. Purpose-7F7cMCTcyhM.pt-BR.vtt	2.0 KB
02. Purpose-7F7cMCTcyhM.zh-CN.vtt	2.0 KB
02. Purpose-7F7cMCTcyhM.en.vtt	2.0 KB
07. Format-Xlqoq-SoJso.en.vtt	2.1 KB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.zh-CN.vtt	2.7 KB
04. Writing Your Introduction-5S5PH73WLLY.es-MX.vtt	2.7 KB
04. Writing Your Introduction-5S5PH73WLLY.pt-BR.vtt	2.7 KB
04. Writing Your Introduction-5S5PH73WLLY.en.vtt	2.7 KB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.es-MX.vtt	2.8 KB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.pt-BR.vtt	2.8 KB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.en.vtt	2.9 KB
05. Writing the Body-aK9Qnv3a6Wg.es-MX.vtt	3.3 KB
05. Writing the Body-aK9Qnv3a6Wg.pt-BR.vtt	3.3 KB
05. Writing the Body-aK9Qnv3a6Wg.en.vtt	3.7 KB
index.html	4.4 KB
02. Purpose of the Cover Letter.html	5.9 KB
01. Get an Interview with a Cover Letter!.html	6.5 KB
07. Format.html	6.8 KB
08. Resources in Your Career Portal.html	7.0 KB
06. Write the Conclusion.html	7.2 KB
03. Cover Letter Components.html	7.6 KB
Project Description - Craft Your Cover Letter.html	8.1 KB
04. Write the Introduction.html	8.7 KB
05. Write the Body.html	9.2 KB
Project Rubric - Craft Your Cover Letter.html	10.1 KB
/Part 08-Module 04-Lesson 01_Cleaning Data/
18. You Can Iterate -CDRmFJHywp8.en.vtt	0.8 KB
18. You Can Iterate -CDRmFJHywp8.zh-CN.vtt	0.9 KB
14. Cleaning For Quallity -qyixEwMRtWA.en.vtt	0.9 KB
14. Cleaning For Quallity -qyixEwMRtWA.zh-CN.vtt	0.9 KB
04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.zh-CN.vtt	0.9 KB
18. You Can Iterate -CDRmFJHywp8.pt-BR.vtt	1.0 KB
04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.en.vtt	1.0 KB
05. Data Cleaning Process -BS_p9kwMEMk.zh-CN.vtt	1.1 KB
05. Data Cleaning Process -BS_p9kwMEMk.en.vtt	1.1 KB
14. Cleaning For Quallity -qyixEwMRtWA.pt-BR.vtt	1.1 KB
18. You Can Iterate -CDRmFJHywp8.ar.vtt	1.2 KB
14. Cleaning For Quallity -qyixEwMRtWA.ar.vtt	1.3 KB
04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.pt-BR.vtt	1.3 KB
04. Manual Vs Programmatic Cleaning -AQFBVQy_HyY.ar.vtt	1.4 KB
05. Data Cleaning Process -BS_p9kwMEMk.pt-BR.vtt	1.4 KB
20. Conclusion -d_nKtLo5WYA.zh-CN.vtt	1.6 KB
05. Data Cleaning Process -BS_p9kwMEMk.ar.vtt	1.6 KB
20. Conclusion -d_nKtLo5WYA.en.vtt	1.6 KB
01. Introduction -rkRn1Nh-6lg.zh-CN.vtt	1.8 KB
01. Introduction -rkRn1Nh-6lg.en.vtt	1.8 KB
20. Conclusion -d_nKtLo5WYA.pt-BR.vtt	1.9 KB
01. Introduction -rkRn1Nh-6lg.pt-BR.vtt	2.2 KB
20. Conclusion -d_nKtLo5WYA.ar.vtt	2.3 KB
01. Introduction -rkRn1Nh-6lg.ar.vtt	2.6 KB
08. Addressing Missing Data First -ArAGZCUMj9Q.zh-CN.vtt	2.8 KB
08. Addressing Missing Data First -ArAGZCUMj9Q.en.vtt	2.8 KB
11. Cleaning For Tidiness -6nMKFhpVCRU.zh-CN.vtt	3.0 KB
08. Addressing Missing Data First -ArAGZCUMj9Q.pt-BR.vtt	3.1 KB
05. Data Cleaning Process -exMGBx6Rs_E.en.vtt	3.1 KB
05. Data Cleaning Process -exMGBx6Rs_E.zh-CN.vtt	3.1 KB
11. Cleaning For Tidiness -6nMKFhpVCRU.en.vtt	3.3 KB
05. Data Cleaning Process -exMGBx6Rs_E.pt-BR.vtt	3.8 KB
11. Cleaning For Tidiness -6nMKFhpVCRU.pt-BR.vtt	3.8 KB
08. Addressing Missing Data First -ArAGZCUMj9Q.ar.vtt	3.8 KB
11. Cleaning For Tidiness -6nMKFhpVCRU.ar.vtt	4.4 KB
05. Data Cleaning Process -exMGBx6Rs_E.ar.vtt	4.4 KB
index.html	5.1 KB
17. Flashforward.html	6.9 KB
14. Cleaning for Quality.html	6.9 KB
11. Cleaning for Tidiness.html	6.9 KB
04. Manual vs. Programmatic Cleaning.html	7.0 KB
03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.zh-CN.vtt	7.1 KB
01. Introduction.html	7.1 KB
19. Cleaning Summary.html	7.2 KB
15. Quiz Quality.html	7.2 KB
12. Quiz Tidiness.html	7.2 KB
16. Solution Quality.html	7.2 KB
09. Quiz Missing Data.html	7.2 KB
06. Cleaning Sequences.html	7.2 KB
13. Solution Tidiness.html	7.2 KB
10. Solution Missing Data.html	7.2 KB
03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.pt-BR.vtt	7.3 KB
08. Address Missing Data First.html	7.4 KB
20. Conclusion.html	7.4 KB
03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.en.vtt	7.4 KB
18. You Can Iterate.html	8.0 KB
02. Lesson Outline.html	8.3 KB
03. Dataset Oral Insulin Phase II Clinical Trial Data.html	9.2 KB
17. Flashforward-rfMu3f9O9hQ.zh-CN.vtt	9.4 KB
07. Quiz and Solution Notebooks.html	9.5 KB
17. Flashforward-rfMu3f9O9hQ.en.vtt	10.1 KB
03. Dataset Oral Insulin Clinical Trial Data -R-HT78SPxpE.ar.vtt	10.8 KB
17. Flashforward-rfMu3f9O9hQ.pt-BR.vtt	11.4 KB
05. Data Cleaning Process.html	12.6 KB
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/Part 15-Module 02-Lesson 07_Case Studies in Algorithms/
01. Case Study Introduction-r8uEDyBylHY.zh-CN.vtt	0.8 KB
07. Traveling Salesman Problem-9ruR5Ux63QU.zh-CN.vtt	0.9 KB
01. Case Study Introduction-r8uEDyBylHY.pt-BR.vtt	0.9 KB
07. Traveling Salesman Problem-9ruR5Ux63QU.en.vtt	1.0 KB
07. Traveling Salesman Problem-9ruR5Ux63QU.en-US.vtt	1.0 KB
07. Traveling Salesman Problem-9ruR5Ux63QU.pt-BR.vtt	1.0 KB
01. Case Study Introduction-r8uEDyBylHY.en.vtt	1.0 KB
01. Case Study Introduction-r8uEDyBylHY.en-US.vtt	1.0 KB
02. Shortest Path Problem-huKUM97Vve8.zh-CN.vtt	1.3 KB
02. Shortest Path Problem-huKUM97Vve8.pt-BR.vtt	1.4 KB
02. Shortest Path Problem-huKUM97Vve8.en.vtt	1.6 KB
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04. Knapsack Problem--xRKazHGtjU.zh-CN.vtt	2.4 KB
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04. Knapsack Problem--xRKazHGtjU.en.vtt	2.8 KB
04. Knapsack Problem--xRKazHGtjU.en-US.vtt	2.8 KB
06. Dynamic Programming-VQeFcG9pjJU.zh-CN.vtt	3.1 KB
03. Dijkstra's Algorithm-SoPMK03cOgk.zh-CN.vtt	3.1 KB
05. A Faster Algorithm-J7S3CHFBZJA.zh-CN.vtt	3.4 KB
08. Exact and Approximate Algorithms-3A8YqOYlAwQ.zh-CN.vtt	3.5 KB
06. Dynamic Programming-VQeFcG9pjJU.pt-BR.vtt	3.5 KB
03. Dijkstra's Algorithm-SoPMK03cOgk.pt-BR.vtt	3.6 KB
03. Dijkstra's Algorithm-SoPMK03cOgk.en.vtt	3.6 KB
03. Dijkstra's Algorithm-SoPMK03cOgk.en-US.vtt	3.6 KB
06. Dynamic Programming-VQeFcG9pjJU.en.vtt	3.6 KB
06. Dynamic Programming-VQeFcG9pjJU.en-US.vtt	3.6 KB
05. A Faster Algorithm-J7S3CHFBZJA.pt-BR.vtt	3.7 KB
05. A Faster Algorithm-J7S3CHFBZJA.en.vtt	3.7 KB
05. A Faster Algorithm-J7S3CHFBZJA.en-US.vtt	3.7 KB
08. Exact and Approximate Algorithms-3A8YqOYlAwQ.en.vtt	4.0 KB
08. Exact and Approximate Algorithms-3A8YqOYlAwQ.en-US.vtt	4.0 KB
08. Exact and Approximate Algorithms-3A8YqOYlAwQ.pt-BR.vtt	4.0 KB
index.html	4.2 KB
04. Knapsack Problem.html	5.7 KB
05. A Faster Algorithm.html	5.7 KB
06. Dynamic Programming.html	5.7 KB
02. Shortest Path Problem.html	5.7 KB
01. Case Study Introduction.html	5.8 KB
03. Dijkstra's Algorithm.html	5.8 KB
07. Traveling Salesman Problem.html	5.8 KB
08. Exact and Approximate Algorithms.html	5.8 KB
/Part 15-Module 02-Lesson 08_Technical Interview - Python/
06. Runtime Analysis-8bI9OgOB2qI.zh-CN.vtt	0.9 KB
03. Confirming Inputs-8lPTOG1yLsg.pt-BR.vtt	1.0 KB
06. Runtime Analysis-8bI9OgOB2qI.pt-BR.vtt	1.0 KB
10. Interview Wrap-Up-sz4Ekcu9a_Q.pt-BR.vtt	1.0 KB
03. Confirming Inputs-8lPTOG1yLsg.zh-CN.vtt	1.0 KB
06. Runtime Analysis-8bI9OgOB2qI.en.vtt	1.1 KB
06. Runtime Analysis-8bI9OgOB2qI.en-US.vtt	1.1 KB
10. Interview Wrap-Up-sz4Ekcu9a_Q.zh-CN.vtt	1.2 KB
04. Test Cases-7CNatJ7PqZ4.pt-BR.vtt	1.2 KB
03. Confirming Inputs-8lPTOG1yLsg.en.vtt	1.3 KB
03. Confirming Inputs-8lPTOG1yLsg.en-US.vtt	1.3 KB
10. Interview Wrap-Up-sz4Ekcu9a_Q.en.vtt	1.3 KB
10. Interview Wrap-Up-sz4Ekcu9a_Q.en-US.vtt	1.3 KB
04. Test Cases-7CNatJ7PqZ4.zh-CN.vtt	1.4 KB
04. Test Cases-7CNatJ7PqZ4.en.vtt	1.6 KB
04. Test Cases-7CNatJ7PqZ4.en-US.vtt	1.6 KB
01. Interview Introduction-dRsHYt1Lddc.pt-BR.vtt	2.1 KB
02. Clarifying the Question-XvvKBmKC_84.pt-BR.vtt	2.1 KB
02. Clarifying the Question-XvvKBmKC_84.zh-CN.vtt	2.1 KB
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02. Clarifying the Question-XvvKBmKC_84.en.vtt	2.6 KB
02. Clarifying the Question-XvvKBmKC_84.en-US.vtt	2.6 KB
09. Debugging-Bz1tlvkql9Q.zh-CN.vtt	3.2 KB
09. Debugging-Bz1tlvkql9Q.pt-BR.vtt	3.6 KB
09. Debugging-Bz1tlvkql9Q.en.vtt	4.1 KB
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05. Brainstorming-LJFYhMDCCsU.pt-BR.vtt	4.2 KB
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index.html	4.8 KB
05. Brainstorming-LJFYhMDCCsU.en.vtt	5.1 KB
05. Brainstorming-LJFYhMDCCsU.en-US.vtt	5.1 KB
08. Coding 2.html	6.1 KB
07. Coding.html	6.4 KB
09. Debugging.html	6.5 KB
04. Test Cases.html	6.5 KB
05. Brainstorming.html	6.5 KB
06. Runtime Analysis.html	6.5 KB
03. Confirming Inputs.html	6.5 KB
01. Interview Introduction.html	6.6 KB
02. Clarifying the Question.html	6.6 KB
10. Interview Wrap-Up.html	6.7 KB
07. Coding-zhQYREUI8Z0.zh-CN.vtt	7.0 KB
07. Coding-zhQYREUI8Z0.pt-BR.vtt	7.4 KB
13. Resources in Your Career Portal.html	7.6 KB
08. Coding 2-qEteyPNRSwU.en.vtt	7.8 KB
11. Time for Live Practice with Pramp.html	8.0 KB
Project Description - Technical Interview Practice.html	8.2 KB
Project Rubric - Technical Interview Practice.html	8.9 KB
12. Next Steps.html	9.0 KB
14. Project Description.html	9.6 KB
07. Coding-zhQYREUI8Z0.en.vtt	9.7 KB
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/Part 02-Module 01-Lesson 04_Files and Modules/
10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.zh-CN.vtt	0.9 KB
10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.en.vtt	1.0 KB
10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.pt-BR.vtt	1.1 KB
10. Ud1110 IntroPy L4 99 Lesson Outro-8AOietAcOLk.ar.vtt	1.3 KB
index.html	4.2 KB
02. Tuples II.html	5.5 KB
06. Reading from a File II.html	6.0 KB
08. The Standard Library II.html	6.1 KB
04. Variable Scope.html	8.1 KB
01. Tuples.html	11.3 KB
03. Default Arguments.html	11.9 KB
09. Third-Party Libraries.html	12.8 KB
10. Using Online Resources.html	15.3 KB
05. Reading from a File.html	23.5 KB
07. The Standard Library.html	29.5 KB
/Part 15-Module 01-Lesson 03_Interview Fails/
01. Interview Fails-FD6UNqMa0xc.zh-CN.vtt	0.9 KB
01. Interview Fails-FD6UNqMa0xc.es-MX.vtt	1.0 KB
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02. Interviewing Fails Mike Wales-OGXRmzBglI4.zh-CN.vtt	1.9 KB
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02. Interviewing Fails Mike Wales-OGXRmzBglI4.es-MX.vtt	2.1 KB
02. Interviewing Fails Mike Wales-OGXRmzBglI4.pt-BR.vtt	2.2 KB
03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.zh-CN.vtt	3.0 KB
03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.es-MX.vtt	3.2 KB
03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.en.vtt	3.2 KB
03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.pt-BR.vtt	3.2 KB
index.html	3.9 KB
01. Interview Fails.html	5.3 KB
02. Interviewing Fails Mike Wales.html	5.4 KB
04. Interviewing Fails Lyla Fujiwara.html	5.4 KB
03. Interviewing Fails Siya Raj Purohit.html	5.4 KB
04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.zh-CN.vtt	5.7 KB
04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.pt-BR.vtt	6.2 KB
04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.es-MX.vtt	6.2 KB
04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.en.vtt	6.4 KB
/Part 11-Module 01-Lesson 03_Review a Repo's History/
07. A Repository's History - Outro-9rUf2HbdAd8.zh-CN.vtt	0.9 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt	0.9 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.en.vtt	1.0 KB
07. A Repository's History - Outro-9rUf2HbdAd8.en.vtt	1.0 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.zh-CN.vtt	1.1 KB
07. A Repository's History - Outro-9rUf2HbdAd8.pt-BR.vtt	1.1 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.pt-BR.vtt	1.1 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.en.vtt	1.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.pt-BR.vtt	1.2 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.ar.vtt	1.3 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.ar.vtt	1.5 KB
07. A Repository's History - Outro-9rUf2HbdAd8.ar.vtt	1.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.zh-CN.vtt	1.5 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.zh-CN.vtt	1.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.en.vtt	1.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.pt-BR.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.en.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.pt-BR.vtt	1.8 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.ar.vtt	2.2 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.ar.vtt	2.4 KB
01. A Repository's History - Intro-UBmg3syQS0E.zh-CN.vtt	3.5 KB
01. A Repository's History - Intro-UBmg3syQS0E.en.vtt	4.0 KB
index.html	4.1 KB
01. A Repository's History - Intro-UBmg3syQS0E.pt-BR.vtt	4.2 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.zh-CN.vtt	4.8 KB
01. A Repository's History - Intro-UBmg3syQS0E.ar.vtt	5.0 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.en.vtt	5.4 KB
01. Intro.html	5.7 KB
07. Outro.html	5.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.pt-BR.vtt	5.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.ar.vtt	7.1 KB
06. Viewing A Specific Commit.html	11.4 KB
03. Changing How Git Log Displays Information.html	13.5 KB
04. Viewing Modified Files.html	13.6 KB
05. Viewing File Changes.html	17.0 KB
02. Displaying A Repository's Commits.html	19.1 KB
/Part 01-Module 02-Lesson 01_Project Prep SQL and Moving Averages/
01. Intro Project Explore Weather Trends-xneztkf0TsY.zh-CN.vtt	1.0 KB
04. Entity Relationship Diagrams-YY2TAJLEINA.zh-CN.vtt	1.0 KB
25. WHERE with Non-Numeric Data-_pLx7MHOyjo.zh-CN.vtt	1.0 KB
01. Intro Project Explore Weather Trends-xneztkf0TsY.en.vtt	1.1 KB
04. Entity Relationship Diagrams-YY2TAJLEINA.en.vtt	1.1 KB
25. WHERE with Non-Numeric Data-_pLx7MHOyjo.en.vtt	1.1 KB
04. Entity Relationship Diagrams-YY2TAJLEINA.pt-BR.vtt	1.2 KB
03. Parch Posey Database-JOMI560DgXg.zh-CN.vtt	1.2 KB
06. How Databases Store Data-H0C9z_sRvLE.zh-CN.vtt	1.2 KB
03. Parch Posey Database-JOMI560DgXg.en.vtt	1.2 KB
25. WHERE with Non-Numeric Data-_pLx7MHOyjo.pt-BR.vtt	1.3 KB
01. Intro Project Explore Weather Trends-xneztkf0TsY.pt-BR.vtt	1.3 KB
06. How Databases Store Data-H0C9z_sRvLE.en.vtt	1.3 KB
35. IN Operator-_JPO7wwX3uA.zh-CN.vtt	1.3 KB
02. Introduction-Z8WNfx9Oq9s.zh-CN.vtt	1.3 KB
07. Types Of Statements-vLvJbIz94C4.zh-CN.vtt	1.3 KB
02. Introduction-Z8WNfx9Oq9s.en.vtt	1.4 KB
03. Parch Posey Database-JOMI560DgXg.pt-BR.vtt	1.4 KB
06. How Databases Store Data-H0C9z_sRvLE.pt-BR.vtt	1.4 KB
25. WHERE with Non-Numeric Data-_pLx7MHOyjo.ar.vtt	1.5 KB
01. Intro Project Explore Weather Trends-xneztkf0TsY.ar.vtt	1.5 KB
35. IN Operator-_JPO7wwX3uA.en.vtt	1.5 KB
07. Types Of Statements-vLvJbIz94C4.en.vtt	1.5 KB
04. Entity Relationship Diagrams-YY2TAJLEINA.ar.vtt	1.5 KB
44. OR Statement-DRmkKVhe6-s.zh-CN.vtt	1.5 KB
02. Introduction-Z8WNfx9Oq9s.pt-BR.vtt	1.6 KB
35. IN Operator-_JPO7wwX3uA.pt-BR.vtt	1.6 KB
13. LIMIT Statement-cCPHNNhBgpQ.zh-CN.vtt	1.6 KB
03. Parch Posey Database-JOMI560DgXg.ar.vtt	1.7 KB
07. Types Of Statements-vLvJbIz94C4.pt-BR.vtt	1.8 KB
32. LIKE Operator-O5z6eWkNip4.zh-CN.vtt	1.8 KB
44. OR Statement-DRmkKVhe6-s.en.vtt	1.8 KB
28. Arithmetic Operators-fgcJdiNECxI.zh-CN.vtt	1.8 KB
16. ORDER BY Statement-wqj2As31LqI.zh-CN.vtt	1.8 KB
06. How Databases Store Data-H0C9z_sRvLE.ar.vtt	1.8 KB
13. LIMIT Statement-cCPHNNhBgpQ.en.vtt	1.9 KB
19. Order By Part II-XQCjREdOqwE.zh-CN.vtt	1.9 KB
44. OR Statement-DRmkKVhe6-s.pt-BR.vtt	1.9 KB
44. OR Operator-3vLGEuXAAvA.zh-CN.vtt	1.9 KB
28. Arithmetic Operators-fgcJdiNECxI.en.vtt	1.9 KB
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16. ORDER BY Statement-wqj2As31LqI.en.vtt	2.0 KB
32. LIKE Operator-O5z6eWkNip4.en.vtt	2.0 KB
07. Types Of Statements-vLvJbIz94C4.ar.vtt	2.0 KB
38. NOT Operator-dSQF87oW8a0.zh-CN.vtt	2.1 KB
41. AND BETWEEN Operators-nBuDPneWcKY.zh-CN.vtt	2.1 KB
22. WHERE Statements -mN0uTnlXaxg.zh-CN.vtt	2.1 KB
05. Why Businesses Choose Databases-j4ey7--h9r8.zh-CN.vtt	2.1 KB
02. Introduction-Z8WNfx9Oq9s.ar.vtt	2.1 KB
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28. Arithmetic Operators-fgcJdiNECxI.pt-BR.vtt	2.1 KB
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44. OR Operator-3vLGEuXAAvA.en.vtt	2.2 KB
05. Why Businesses Choose Databases-j4ey7--h9r8.en.vtt	2.2 KB
38. NOT Operator-dSQF87oW8a0.en.vtt	2.3 KB
22. WHERE Statements -mN0uTnlXaxg.en.vtt	2.3 KB
41. AND BETWEEN Operators-nBuDPneWcKY.en.vtt	2.3 KB
44. OR Operator-3vLGEuXAAvA.pt-BR.vtt	2.5 KB
32. LIKE Operator-O5z6eWkNip4.pt-BR.vtt	2.5 KB
38. NOT Operator-dSQF87oW8a0.pt-BR.vtt	2.5 KB
44. OR Statement-DRmkKVhe6-s.ar.vtt	2.5 KB
28. Arithmetic Operators-fgcJdiNECxI.ar.vtt	2.6 KB
19. Order By Part II-XQCjREdOqwE.pt-BR.vtt	2.6 KB
41. AND BETWEEN Operators-nBuDPneWcKY.pt-BR.vtt	2.6 KB
13. LIMIT Statement-cCPHNNhBgpQ.ar.vtt	2.6 KB
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32. LIKE Operator-O5z6eWkNip4.ar.vtt	2.7 KB
05. Why Businesses Choose Databases-j4ey7--h9r8.pt-BR.vtt	2.7 KB
22. WHERE Statements -mN0uTnlXaxg.pt-BR.vtt	2.8 KB
05. Why Do Analysts Like SQL-uCNOtUht2Xc.zh-CN.vtt	2.8 KB
19. Order By Part II-XQCjREdOqwE.ar.vtt	2.8 KB
44. OR Operator-3vLGEuXAAvA.ar.vtt	2.9 KB
05. Why Do Analysts Like SQL-uCNOtUht2Xc.en.vtt	2.9 KB
22. WHERE Statements -mN0uTnlXaxg.ar.vtt	3.1 KB
05. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt	3.1 KB
09. SELECT FROM Statements-urOYuuav4BY.zh-CN.vtt	3.2 KB
38. NOT Operator-dSQF87oW8a0.ar.vtt	3.2 KB
41. AND BETWEEN Operators-nBuDPneWcKY.ar.vtt	3.3 KB
05. Why Do Analysts Like SQL-uCNOtUht2Xc.pt-BR.vtt	3.3 KB
09. SELECT FROM Statements-urOYuuav4BY.en.vtt	3.4 KB
09. SELECT FROM Statements-urOYuuav4BY.pt-BR.vtt	3.7 KB
05. Why Do Analysts Like SQL-uCNOtUht2Xc.ar.vtt	4.4 KB
09. SELECT FROM Statements-urOYuuav4BY.ar.vtt	4.6 KB
index.html	7.4 KB
02. Video SQL Introduction.html	9.8 KB
03. Video The Parch Posey Database.html	9.9 KB
38. Video NOT.html	10.2 KB
19. Video ORDER BY Part II.html	10.2 KB
15. Solutions LIMIT.html	10.4 KB
11. Solutions Your First Query Solution.html	10.4 KB
27. Solutions WHERE with Non-Numeric.html	10.5 KB
07. Video Types of Statements.html	10.5 KB
25. Video WHERE with Non-Numeric Data.html	10.6 KB
37. Solutions IN.html	10.6 KB
31. Text Introduction to Logical Operators.html	10.6 KB
13. Video LIMIT.html	10.6 KB
33. Quiz LIKE.html	10.6 KB
34. Solutions LIKE.html	10.6 KB
22. Video WHERE.html	10.6 KB
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16. Video ORDER BY.html	10.7 KB
18. Solutions ORDER BY.html	10.7 KB
36. Quiz IN.html	10.7 KB
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46. Solutions OR.html	10.8 KB
35. Video IN.html	10.8 KB
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09. Video SELECT FROM.html	10.9 KB
45. Quiz OR.html	10.9 KB
40. Solutions NOT.html	11.0 KB
42. Quiz AND and BETWEEN.html	11.0 KB
30. Solutions Arithmetic Operators.html	11.0 KB
28. Video Arithmetic Operators.html	11.0 KB
43. Solutions AND and BETWEEN.html	11.1 KB
39. Quiz NOT.html	11.1 KB
32. Video LIKE.html	11.1 KB
41. Video AND and BETWEEN.html	11.2 KB
06. Video How Databases Store Data.html	11.3 KB
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44. Video OR.html	11.5 KB
08. Statements.html	11.5 KB
20. Quiz ORDER BY Part II.html	11.6 KB
29. Quiz Arithmetic Operators.html	11.6 KB
47. SQL Basics Recap.html	12.0 KB
04. Video + Text The Parch Posey Database.html	12.4 KB
14. Quiz LIMIT.html	12.6 KB
12. Text Formatting Best Practices.html	13.6 KB
10. Text + Quiz Your First Query.html	14.0 KB
05. Video Why SQL.html	14.5 KB
48. Moving Averages.html	14.5 KB
/Part 11-Module 01-Lesson 01_What is Version Control/
06. Onward-iXbMaTwfIJI.zh-CN.vtt	1.0 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.zh-CN.vtt	1.1 KB
06. Onward-iXbMaTwfIJI.en.vtt	1.1 KB
06. Onward-iXbMaTwfIJI.pt-BR.vtt	1.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.en.vtt	1.2 KB
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04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.zh-CN.vtt	1.9 KB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.zh-CN.vtt	2.0 KB
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03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.ar.vtt	2.2 KB
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01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.pt-BR.vtt	2.3 KB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.zh-CN.vtt	2.5 KB
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03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.en.vtt	2.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.pt-BR.vtt	2.8 KB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.pt-BR.vtt	2.9 KB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.ar.vtt	3.0 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.zh-CN.vtt	3.3 KB
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03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.zh-CN.vtt	3.4 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.pt-BR.vtt	3.5 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.pt-BR.vtt	3.6 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.en.vtt	3.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.en.vtt	3.6 KB
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01. Gitfinal L1 01 Welcome-lbR82UD5F0c.ar.vtt	4.9 KB
06. Onward.html	5.4 KB
01. What is Version Control.html	8.9 KB
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03. Git and Version Control Terminology.html	14.2 KB
/Part 03-Module 03-Lesson 01_Basic SQL/
03. Entity Relationship Diagrams-YY2TAJLEINA.zh-CN.vtt	1.0 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.zh-CN.vtt	1.0 KB
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27. WHERE with Non-Numeric Data-_pLx7MHOyjo.en.vtt	1.1 KB
03. Entity Relationship Diagrams-YY2TAJLEINA.pt-BR.vtt	1.2 KB
02. Parch Posey Database-JOMI560DgXg.zh-CN.vtt	1.2 KB
07. How Databases Store Data-H0C9z_sRvLE.zh-CN.vtt	1.2 KB
02. Parch Posey Database-JOMI560DgXg.en.vtt	1.2 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.pt-BR.vtt	1.3 KB
07. How Databases Store Data-H0C9z_sRvLE.en.vtt	1.3 KB
37. IN Operator-_JPO7wwX3uA.zh-CN.vtt	1.3 KB
01. Introduction-Z8WNfx9Oq9s.zh-CN.vtt	1.3 KB
09. Types Of Statements-vLvJbIz94C4.zh-CN.vtt	1.3 KB
01. Introduction-Z8WNfx9Oq9s.en.vtt	1.4 KB
02. Parch Posey Database-JOMI560DgXg.pt-BR.vtt	1.4 KB
07. How Databases Store Data-H0C9z_sRvLE.pt-BR.vtt	1.4 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.ar.vtt	1.5 KB
37. IN Operator-_JPO7wwX3uA.en.vtt	1.5 KB
09. Types Of Statements-vLvJbIz94C4.en.vtt	1.5 KB
03. Entity Relationship Diagrams-YY2TAJLEINA.ar.vtt	1.5 KB
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01. Introduction-Z8WNfx9Oq9s.pt-BR.vtt	1.6 KB
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02. Parch Posey Database-JOMI560DgXg.ar.vtt	1.7 KB
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40. NOT Operator-dSQF87oW8a0.zh-CN.vtt	2.1 KB
43. AND BETWEEN Operators-nBuDPneWcKY.zh-CN.vtt	2.1 KB
24. WHERE Statements -mN0uTnlXaxg.zh-CN.vtt	2.1 KB
06. Why Businesses Choose Databases-j4ey7--h9r8.zh-CN.vtt	2.1 KB
01. Introduction-Z8WNfx9Oq9s.ar.vtt	2.1 KB
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15. LIMIT Statement-cCPHNNhBgpQ.ar.vtt	2.6 KB
18. ORDER BY Statement-wqj2As31LqI.ar.vtt	2.6 KB
34. LIKE Operator-O5z6eWkNip4.ar.vtt	2.7 KB
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06. Why Do Analysts Like SQL-uCNOtUht2Xc.zh-CN.vtt	2.8 KB
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46. OR Operator-3vLGEuXAAvA.ar.vtt	2.9 KB
06. Why Do Analysts Like SQL-uCNOtUht2Xc.en.vtt	2.9 KB
24. WHERE Statements -mN0uTnlXaxg.ar.vtt	3.1 KB
06. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt	3.1 KB
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40. NOT Operator-dSQF87oW8a0.ar.vtt	3.2 KB
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11. SELECT FROM Statements-urOYuuav4BY.ar.vtt	4.6 KB
index.html	7.5 KB
01. Video SQL Introduction.html	10.0 KB
02. Video The Parch Posey Database.html	10.1 KB
40. Video NOT.html	10.4 KB
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17. Solutions LIMIT.html	10.6 KB
13. Solutions Your First Query Solution.html	10.6 KB
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09. Video Types of Statements.html	10.7 KB
27. Video WHERE with Non-Numeric Data.html	10.7 KB
39. Solutions IN.html	10.7 KB
33. Text Introduction to Logical Operators.html	10.7 KB
15. Video LIMIT.html	10.7 KB
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36. Solutions LIKE.html	10.8 KB
24. Video WHERE.html	10.8 KB
25. Quiz WHERE.html	10.8 KB
28. Quiz WHERE with Non-Numeric.html	10.8 KB
18. Video ORDER BY.html	10.8 KB
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34. Video LIKE.html	11.3 KB
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07. Video How Databases Store Data.html	11.4 KB
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46. Video OR.html	11.6 KB
10. Statements.html	11.7 KB
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31. Quiz Arithmetic Operators.html	11.8 KB
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04. Quiz ERD Fundamentals.html	12.6 KB
16. Quiz LIMIT.html	12.7 KB
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08. Text + Quiz Types of Databases.html	12.9 KB
14. Text Formatting Best Practices.html	13.7 KB
12. Text + Quiz Your First Query.html	14.1 KB
06. Video Why SQL.html	14.6 KB
/Part 15-Module 02-Lesson 06_Graphs/
09. Graph Traversal-Dkt-XxHZaZE.zh-CN.vtt	1.0 KB
09. Graph Traversal-Dkt-XxHZaZE.pt-BR.vtt	1.1 KB
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09. Graph Traversal-Dkt-XxHZaZE.en.vtt	1.1 KB
09. Graph Traversal-Dkt-XxHZaZE.en-US.vtt	1.1 KB
01. Graph Introduction-DFR8F2Q9lgo.zh-CN.vtt	1.1 KB
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04. Connectivity-4x6u2KtNDg4.zh-CN.vtt	1.6 KB
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04. Connectivity-4x6u2KtNDg4.en-US.vtt	2.0 KB
07. Adjacency Matrices-FsFhoTALA1c.zh-CN.vtt	2.0 KB
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06. Graph Representations-uw9u6dtl0WA.zh-CN.vtt	2.3 KB
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11. BFS-pol4kGNlvJA.en.vtt	2.3 KB
03. Directions and Cycles-lF0vUktQDPo.zh-CN.vtt	2.3 KB
07. Adjacency Matrices-FsFhoTALA1c.en.vtt	2.4 KB
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03. Directions and Cycles-lF0vUktQDPo.pt-BR.vtt	2.7 KB
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10. DFS-BC8jEidd2EQ.zh-CN.vtt	3.0 KB
13. Eulerian Path-zS34kHSo7fs.zh-CN.vtt	3.1 KB
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13. Eulerian Path-zS34kHSo7fs.en.vtt	3.5 KB
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02. What Is a Graph-p-_DFOyEMV8.zh-CN.vtt	3.7 KB
02. What Is a Graph-p-_DFOyEMV8.pt-BR.vtt	3.9 KB
02. What Is a Graph-p-_DFOyEMV8.en.vtt	4.2 KB
02. What Is a Graph-p-_DFOyEMV8.en-US.vtt	4.2 KB
index.html	4.4 KB
11. BFS.html	6.0 KB
10. DFS.html	6.0 KB
04. Connectivity.html	6.0 KB
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09. Graph Traversal.html	6.1 KB
02. What Is a Graph.html	6.1 KB
01. Graph Introduction.html	6.1 KB
07. Adjacency Matrices.html	6.1 KB
03. Directions and Cycles.html	6.1 KB
06. Graph Representations.html	6.1 KB
05. Graph Practice.html	8.5 KB
08. Graph Representation Practice.html	13.6 KB
12. Graph Traversal Practice.html	19.5 KB
/Part 15-Module 02-Lesson 04_Maps and Hashing/
01. Introduction to Maps-JEw3iQAnGKQ.zh-CN.vtt	1.0 KB
01. Introduction to Maps-JEw3iQAnGKQ.pt-BR.vtt	1.1 KB
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04. Introduction to Hashing-8yik3RlDFgM.zh-CN.vtt	1.8 KB
04. Introduction to Hashing-8yik3RlDFgM.pt-BR.vtt	1.9 KB
04. Introduction to Hashing-8yik3RlDFgM.en.vtt	2.0 KB
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02. Sets and Maps-gmIb-qZhTDQ.zh-CN.vtt	2.1 KB
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09. String Keys-WyFwieF1NN4.zh-CN.vtt	2.9 KB
05. Hashing-kCPFfHx_LgQ.zh-CN.vtt	3.1 KB
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05. Hashing.html	5.7 KB
06. Collisions.html	5.7 KB
02. Sets and Maps.html	5.7 KB
01. Introduction to Maps.html	5.8 KB
04. Introduction to Hashing.html	5.8 KB
08. Hash Maps.html	5.8 KB
09. String Keys.html	6.1 KB
07. Load Factor.html	8.5 KB
10. String Keys Practice.html	9.0 KB
03. Python Dictionaries.html	9.2 KB
/Part 15-Module 02-Lesson 02_List-Based Collections/
08. Stacks-DQoCO8aGcNc.zh-CN.vtt	1.1 KB
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01. Welcome to Collections-cZORvZq-tI0.zh-CN.vtt	1.6 KB
02. Lists-KUQSgUMtyv0.zh-CN.vtt	1.7 KB
01. Welcome to Collections-cZORvZq-tI0.en.vtt	1.7 KB
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02. Lists-KUQSgUMtyv0.en.vtt	1.9 KB
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02. Lists-KUQSgUMtyv0.pt-BR.vtt	1.9 KB
05. Linked Lists-zxkpZrozDUk.zh-CN.vtt	2.0 KB
09. Stacks Details-HpaVHzDeZC4.zh-CN.vtt	2.0 KB
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05. Linked Lists-zxkpZrozDUk.en.vtt	2.1 KB
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06. Linked Lists in Depth-ZONGA5wmREI.en.vtt	4.2 KB
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03. Arrays-OnPP5xDmFv0.pt-BR.vtt	4.3 KB
02. Lists.html	5.8 KB
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03. Arrays.html	5.8 KB
08. Stacks.html	5.8 KB
05. Linked Lists.html	5.9 KB
09. Stacks Details.html	5.9 KB
06. Linked Lists in Depth.html	5.9 KB
01. Welcome to Collections.html	5.9 KB
12. Queue Practice.html	7.8 KB
04. Python Lists.html	8.5 KB
10. Stack Practice.html	10.9 KB
07. Linked List Practice.html	12.3 KB
/Part 15-Module 01-Lesson 04_Land a Job Offer/
01. Land a Job Offer-ZQJoT8QL_hw.zh-CN.vtt	1.1 KB
01. Land a Job Offer-ZQJoT8QL_hw.es-MX.vtt	1.2 KB
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index.html	3.6 KB
01. Land a Job Offer.html	5.2 KB
/Part 16-Module 01-Lesson 01_Welcome to Machine Learning/
03. Introduction Pt. III-0ZuxGhiqo5U.zh-CN.vtt	1.3 KB
03. Introduction Pt. III-0ZuxGhiqo5U.pt-BR.vtt	1.4 KB
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04. Prerequisites-0ANDJ8i_deE.zh-CN.vtt	1.6 KB
04. Prerequisites-0ANDJ8i_deE.pt-BR.vtt	1.8 KB
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03. Introduction Pt. III-0ZuxGhiqo5U.ja.vtt	1.8 KB
04. Prerequisites-0ANDJ8i_deE.ja.vtt	1.9 KB
03. Introduction Pt. III-0ZuxGhiqo5U.ar.vtt	1.9 KB
02. Introduction Part II-2ldF64FPWw4.zh-CN.vtt	2.1 KB
02. Introduction Part II-2ldF64FPWw4.pt-BR.vtt	2.3 KB
04. Prerequisites-0ANDJ8i_deE.ar.vtt	2.4 KB
02. Introduction Part II-2ldF64FPWw4.en.vtt	2.4 KB
02. Introduction Part II-2ldF64FPWw4.en-US.vtt	2.4 KB
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index.html	3.8 KB
01. Introduction-ICKBWIkfeJ8.zh-CN.vtt	4.8 KB
03. Introduction, Part III.html	5.4 KB
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01. Introduction-ICKBWIkfeJ8.pt-BR.vtt	5.4 KB
01. Introduction, Part I.html	5.7 KB
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04. Prerequisites.html	6.1 KB
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01. Introduction-ICKBWIkfeJ8.ar.vtt	7.1 KB
/Part 11-Module 01-Lesson 04_Add Commits To A Repo/
07. Outro-5eyvsMvAPYs.zh-CN.vtt	1.3 KB
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07. Outro-5eyvsMvAPYs.pt-BR.vtt	1.4 KB
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01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.pt-BR.vtt	1.8 KB
01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.zh-CN.vtt	1.9 KB
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01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.ar.vtt	2.6 KB
index.html	3.9 KB
07. Outro.html	5.3 KB
01. Intro.html	5.5 KB
05. Git Diff.html	8.2 KB
04. Commit Messages.html	11.5 KB
06. Having Git Ignore Files.html	13.5 KB
02. Git Add.html	21.2 KB
03. Git Commit.html	21.9 KB
/Part 15-Module 01-Lesson 02_Practice Behavioral Questions/
05. What Motivates You at the Workplace-Aa9SFwiRbho.zh-CN.vtt	1.4 KB
05. What Motivates You at the Workplace-Aa9SFwiRbho.en.vtt	1.5 KB
05. What Motivates You at the Workplace-Aa9SFwiRbho.pt-BR.vtt	1.6 KB
04. Time When You Showed Initiative-29mkriaGT0E.zh-CN.vtt	1.8 KB
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07. What Do You Know About the Company-CcTfHemUvbM.zh-CN.vtt	2.2 KB
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07. What Do You Know About the Company-CcTfHemUvbM.en.vtt	2.3 KB
08. Time When You Dealt With Failure-Qb4o_4hCuyg.zh-CN.vtt	2.4 KB
07. What Do You Know About the Company-CcTfHemUvbM.pt-BR.vtt	2.5 KB
08. Time When You Dealt With Failure-Qb4o_4hCuyg.pt-BR.vtt	2.5 KB
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06. A Problem and How You Dealt With It-7IKqdW30GvQ.zh-CN.vtt	4.6 KB
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06. A Problem and How You Dealt With It-7IKqdW30GvQ.pt-BR.vtt	5.4 KB
01. Introduction.html	6.0 KB
07. What Do You Know About the Company.html	6.4 KB
05. What Motivates You at the Workplace.html	6.4 KB
08. Time When You Dealt With Failure.html	6.4 KB
03. Analyzing Behavioral Answers.html	6.5 KB
04. Time When You Showed Initiative.html	6.5 KB
06. A Problem and How You Dealt With It.html	6.8 KB
02. Self-Practice Behavioral Questions.html	8.7 KB
/Part 15-Module 01-Lesson 05_Interview Practice/
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03. Free Throw Probability-pDELcPTP2BI.zh-CN.vtt	1.5 KB
03. Free Throw Probability-pDELcPTP2BI.pt-BR.vtt	1.6 KB
03. Free Throw Probability-pDELcPTP2BI.en.vtt	1.6 KB
02. Describe your latest data project-wkWDrSBBtz0.en.vtt	1.6 KB
05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.zh-CN.vtt	2.1 KB
05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.pt-BR.vtt	2.4 KB
05. Maximum Difference in an Integer Array-R9AtVBq2Z5E.en.vtt	2.5 KB
07. Jimmy's Analysis of the Interview-wg535YU4jFw.zh-CN.vtt	2.5 KB
07. Jimmy's Analysis of the Interview-wg535YU4jFw.pt-BR.vtt	2.8 KB
07. Jimmy's Analysis of the Interview-wg535YU4jFw.en.vtt	3.2 KB
06. Design a Spam Classifier-Uy89Ff49pRc.zh-CN.vtt	3.9 KB
04. Query a SQL database-UVSFLWdAKl4.zh-CN.vtt	4.3 KB
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04. Query a SQL database-UVSFLWdAKl4.pt-BR.vtt	4.7 KB
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04. Query a SQL database-UVSFLWdAKl4.en.vtt	5.4 KB
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03. Free Throw Probability-Zyq0FQ0XO3o.zh-CN.vtt	5.9 KB
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07. Jimmy's Analysis of the Interview.html	6.2 KB
04. Query a SQL database.html	6.2 KB
01. Analyzing an Interview.html	6.3 KB
03. Free Throw Probability-Zyq0FQ0XO3o.en.vtt	6.6 KB
03. Free Throw Probability-Zyq0FQ0XO3o.en-US.vtt	6.6 KB
09. Resources in Your Career Portal.html	7.3 KB
08. Keep Practicing!.html	8.2 KB
06. Design a Spam Classifier.html	8.9 KB
03. Free Throw Probability.html	9.0 KB
05. Maximum Difference in an Integer Array.html	9.0 KB
02. Quiz Analyzing an Interview.html	9.1 KB
05. Maximum Difference in an Integer Array-i3RTW83wI1Q.pt-BR.vtt	9.1 KB
Project Rubric - Interview Practice (Data Analyst).html	9.4 KB
05. Maximum Difference in an Integer Array-i3RTW83wI1Q.zh-CN.vtt	9.5 KB
Project Description - Interview Practice (Data Analyst).html	10.4 KB
05. Maximum Difference in an Integer Array-i3RTW83wI1Q.en.vtt	11.0 KB
06. Design a Spam Classifier-qRv1wrtgsmM.pt-BR.vtt	12.5 KB
06. Design a Spam Classifier-qRv1wrtgsmM.zh-CN.vtt	12.8 KB
06. Design a Spam Classifier-qRv1wrtgsmM.en.vtt	15.1 KB
/Part 13-Module 01-Lesson 01_Develop Your Personal Brand/
06. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt	1.4 KB
06. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt	1.5 KB
06. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt	1.8 KB
05. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt	2.0 KB
06. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt	2.0 KB
05. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt	2.0 KB
05. Elevator Pitch-0QtgTG49E9I.es-MX.vtt	2.0 KB
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06. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt	2.2 KB
05. Elevator Pitch-0QtgTG49E9I.ar.vtt	2.3 KB
07. Use Your Elevator Pitch-e-v60ieggSs.pt-BR.vtt	2.8 KB
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07. Use Your Elevator Pitch-e-v60ieggSs.zh-CN.vtt	2.9 KB
07. Use Your Elevator Pitch-e-v60ieggSs.en.vtt	3.2 KB
01. Why Network-exjEm9Paszk.pt-BR.vtt	3.3 KB
01. Why Network-exjEm9Paszk.es-MX.vtt	3.3 KB
01. Why Network-exjEm9Paszk.zh-CN.vtt	3.4 KB
01. Why Network-exjEm9Paszk.en.vtt	3.5 KB
02. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt	3.5 KB
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index.html	4.1 KB
04. Meet Chris-0ccflD9x5WU.zh-CN.vtt	4.5 KB
07. Use Your Elevator Pitch-e-v60ieggSs.ar.vtt	4.6 KB
04. Meet Chris-0ccflD9x5WU.pt-BR.vtt	4.6 KB
04. Meet Chris-0ccflD9x5WU.es-MX.vtt	4.6 KB
04. Meet Chris-0ccflD9x5WU.en.vtt	5.0 KB
02. Elevator Pitch-S-nAHPrkQrQ.ar.vtt	5.3 KB
01. Why Network-exjEm9Paszk.ar.vtt	5.3 KB
05. Elevator Pitch.html	5.7 KB
02. Why Use Elevator Pitches.html	5.8 KB
06. Pitching to a Recruiter.html	5.8 KB
04. Meet Chris.html	6.0 KB
01. Why Network.html	6.2 KB
04. Meet Chris-0ccflD9x5WU.ar.vtt	6.5 KB
08. Resources in Your Career Portal.html	6.7 KB
07. Use Your Elevator Pitch.html	6.8 KB
03. Personal Branding.html	7.0 KB
/Part 15-Module 01-Lesson 01_Ace Your Interview/
01. Introduction-pg4HUMgKLxI.es-MX.vtt	1.5 KB
01. Introduction-pg4HUMgKLxI.pt-BR.vtt	1.5 KB
01. Introduction-pg4HUMgKLxI.zh-CN.vtt	1.6 KB
01. Introduction-pg4HUMgKLxI.en.vtt	1.7 KB
02. Interviewing Conversations-klqXp09Pen4.zh-CN.vtt	2.6 KB
02. Interviewing Conversations-klqXp09Pen4.pt-BR.vtt	2.6 KB
02. Interviewing Conversations-klqXp09Pen4.es-MX.vtt	2.7 KB
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index.html	3.7 KB
02. Interviews are Conversations.html	5.2 KB
01. Introduction.html	6.2 KB
03. STAR Method.html	6.5 KB
/Part 14-Module 02-Lesson 01_Refine Your Entry-Level Resume/
04. Describe Your Work Experiences-B1LED4txinI.zh-CN.vtt	1.7 KB
04. Describe Your Work Experiences-B1LED4txinI.en.vtt	1.8 KB
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04. Describe Your Work Experiences-B1LED4txinI.pt-BR.vtt	1.9 KB
05. Resume Reflection-8Cj_tCp8mls.es-MX.vtt	2.0 KB
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01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt	2.1 KB
05. Resume Reflection-8Cj_tCp8mls.zh-CN.vtt	2.2 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt	2.2 KB
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05. Resume Reflection-8Cj_tCp8mls.en.vtt	2.4 KB
02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt	2.4 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt	2.4 KB
06. Resume Review-L3F2BFGYMtI.zh-CN.vtt	2.5 KB
02. Effective Resume Components-AiFcaHRGdEA.en.vtt	2.6 KB
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03. Resume Structure-POM0MqLTj98.zh-CN.vtt	3.3 KB
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06. Resume Review.html	6.6 KB
Project Description - Resume Review Project (Entry-level).html	6.8 KB
08. Resources in Your Career Portal.html	7.1 KB
07. Resume Review (Entry-level).html	7.8 KB
Project Rubric - Resume Review Project (Entry-level).html	13.5 KB
/Part 14-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume/
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05. Resume Reflection-8Cj_tCp8mls.es-MX.vtt	2.0 KB
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01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt	2.1 KB
05. Resume Reflection-8Cj_tCp8mls.zh-CN.vtt	2.2 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt	2.2 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.pt-BR.vtt	2.2 KB
05. Resume Reflection-8Cj_tCp8mls.en.vtt	2.4 KB
02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt	2.4 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt	2.4 KB
06. Resume Review-L3F2BFGYMtI.zh-CN.vtt	2.5 KB
02. Effective Resume Components-AiFcaHRGdEA.en.vtt	2.6 KB
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03. Resume Structure-POM0MqLTj98.zh-CN.vtt	3.3 KB
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04. Describe Your Work Experiences.html	6.5 KB
06. Resume Review.html	6.7 KB
Project Description - Resume Review Project (Prior Industry Experience).html	6.8 KB
08. Resources in Your Career Portal.html	7.2 KB
07. Resume Review (Prior Industry Experience).html	7.9 KB
Project Rubric - Resume Review Project (Prior Industry Experience).html	13.3 KB
/Part 14-Module 02-Lesson 02_Refine Your Career Change Resume/
04. Describe Your Work Experiences-B1LED4txinI.zh-CN.vtt	1.7 KB
04. Describe Your Work Experiences-B1LED4txinI.en.vtt	1.8 KB
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01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt	2.1 KB
05. Resume Reflection-8Cj_tCp8mls.zh-CN.vtt	2.2 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt	2.2 KB
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05. Resume Reflection-8Cj_tCp8mls.en.vtt	2.4 KB
02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt	2.4 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt	2.4 KB
06. Resume Review-L3F2BFGYMtI.zh-CN.vtt	2.5 KB
02. Effective Resume Components-AiFcaHRGdEA.en.vtt	2.6 KB
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06. Resume Review-L3F2BFGYMtI.es-MX.vtt	2.8 KB
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03. Resume Structure-POM0MqLTj98.zh-CN.vtt	3.3 KB
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Project Description - Resume Review Project (Career Change).html	6.7 KB
08. Resources in Your Career Portal.html	7.1 KB
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Project Rubric - Resume Review Project (Career Change).html	13.5 KB
/Part 15-Module 02-Lesson 03_Searching and Sorting/
01. Binary Search-0VN5iwEyq4c.pt-BR.vtt	2.1 KB
01. Binary Search-0VN5iwEyq4c.zh-CN.vtt	2.2 KB
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01. Binary Search-0VN5iwEyq4c.en-US.vtt	2.4 KB
06. Intro to Sorting-Z6yuIen71zM.zh-CN.vtt	2.8 KB
06. Intro to Sorting-Z6yuIen71zM.pt-BR.vtt	2.9 KB
08. Efficiency of Bubble Sort-KddkHygi7is.pt-BR.vtt	3.0 KB
06. Intro to Sorting-Z6yuIen71zM.en.vtt	3.1 KB
06. Intro to Sorting-Z6yuIen71zM.en-US.vtt	3.1 KB
08. Efficiency of Bubble Sort-KddkHygi7is.zh-CN.vtt	3.1 KB
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07. Bubble Sort-h_osLG3GmjE.zh-CN.vtt	3.6 KB
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14. Efficiency of Quick Sort-aMb5GHPGQ1U.pt-BR.vtt	4.2 KB
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14. Efficiency of Quick Sort-aMb5GHPGQ1U.en.vtt	4.8 KB
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10. Merge Sort-K916wfSzKxE.zh-CN.vtt	5.1 KB
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11. Efficiency of Merge Sort-HKiK5Y-YSkk.zh-CN.vtt	5.9 KB
04. Recursion.html	6.3 KB
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12. Merge Sort Practice.html	7.9 KB
09. Bubble Sort Practice.html	7.9 KB
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04. Recursion-_aI2Jch6Epk.zh-CN.vtt	8.5 KB
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04. Recursion-_aI2Jch6Epk.en.vtt	9.7 KB
04. Recursion-_aI2Jch6Epk.en-US.vtt	9.7 KB
02. Efficiency of Binary Search-7WbRB7dSyvc.zh-CN.vtt	11.9 KB
02. Efficiency of Binary Search-7WbRB7dSyvc.pt-BR.vtt	12.0 KB
02. Efficiency of Binary Search-7WbRB7dSyvc.en.vtt	13.9 KB
02. Efficiency of Binary Search-7WbRB7dSyvc.en-US.vtt	13.9 KB
/Part 03-Module 01-Lesson 02_Jupyter Notebooks/
01. Jupyter-qiYDWFLyXvg.pt-BR.vtt	2.5 KB
01. Jupyter-qiYDWFLyXvg.zh-CN.vtt	2.7 KB
01. Jupyter-qiYDWFLyXvg.en.vtt	2.8 KB
01. Jupyter-qiYDWFLyXvg.ar.vtt	3.5 KB
index.html	4.4 KB
11. Finishing up.html	5.8 KB
02. Installing Jupyter Notebook.html	5.9 KB
07. Keyboard shortcuts.html	6.0 KB
05. Code cells.html	6.1 KB
09. Converting notebooks.html	7.1 KB
10. Creating a slideshow.html	8.0 KB
04. Notebook interface.html	9.5 KB
06. Markdown cells.html	9.7 KB
08. Magic keywords.html	10.1 KB
03. Launching the notebook server.html	10.9 KB
01. What are Jupyter notebooks.html	12.5 KB
/Part 01-Module 01-Lesson 02_The Life of a Data Analyst/
01. Sparta Science-MkjoaUmdOXc.en.vtt	3.2 KB
01. Sparta Science-MkjoaUmdOXc.pt-BR.vtt	3.3 KB
02. Interview with a Data Scientist-kNnFA5hxI2Q.zh-CN.vtt	3.4 KB
02. Interview with a Data Scientist-kNnFA5hxI2Q.pt-BR.vtt	3.6 KB
04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.zh-CN.vtt	3.6 KB
02. Interview with a Data Scientist-kNnFA5hxI2Q.en.vtt	3.9 KB
index.html	3.9 KB
04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.ja.vtt	4.1 KB
04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.en.vtt	4.1 KB
04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.pt-BR.vtt	4.2 KB
03. Industry Interview Sinthuja-R5XBQ7dSz7w.zh-CN.vtt	4.6 KB
02. Interview with a Data Scientist-kNnFA5hxI2Q.ar.vtt	5.2 KB
04. Lada's Money Bag Meme - Data Analysis with R-Isa_FGQrvgs.ar.vtt	5.3 KB
03. Industry Interview Sinthuja-R5XBQ7dSz7w.en.vtt	5.4 KB
01. CEO, Sparta Science.html	5.6 KB
03. Sinthuja Nagalingam at Summit Schools.html	5.7 KB
03. Industry Interview Sinthuja-R5XBQ7dSz7w.pt-BR.vtt	5.7 KB
02. Data Scientist at Hired.html	5.8 KB
04. Data Scientist at Facebook.html	6.0 KB
03. Industry Interview Sinthuja-R5XBQ7dSz7w.ar.vtt	6.9 KB
/Part 03-Module 01-Lesson 01_Anaconda/
01. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt	3.3 KB
01. Why Anaconda-VXukXZv7SCQ.en.vtt	3.5 KB
01. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt	3.6 KB
index.html	4.1 KB
01. Why Anaconda-VXukXZv7SCQ.ar.vtt	5.1 KB
01. Introduction.html	6.1 KB
07. Best practices.html	7.0 KB
08. Python Versions.html	7.0 KB
06. More environment actions.html	7.2 KB
03. Installing Anaconda.html	7.7 KB
04. Managing packages.html	8.6 KB
05. Managing environments.html	8.9 KB
02. What is Anaconda.html	10.7 KB
/Part 05-Module 01-Lesson 01_Congratulations & Next Steps/
index.html	3.6 KB
01. Congratulations Next Steps.html	5.9 KB
/Part 03-Module 02-Lesson 04_Programming Workflow for Data Analysis/
index.html	3.8 KB
01. Lesson Overview.html	5.2 KB
03. Scripting Your Analysis.html	7.6 KB
02. Analyzing with IPython.html	9.3 KB
/assets/css/
styles.css	3.9 KB
katex.min.css	22.1 KB
plyr.css	24.2 KB
jquery.mCustomScrollbar.min.css	42.8 KB
/assets/css/fonts/
KaTeX_Size3-Regular.woff2	3.9 KB
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/Part 01-Module 02-Lesson 02_Explore Weather Trends/
index.html	3.9 KB
Project Rubric - Explore Weather Trends.html	6.7 KB
02. Accessing Data With SQL.html	7.0 KB
01. Project Instructions.html	8.2 KB
Project Description - Explore Weather Trends.html	8.9 KB
/Part 13-Module 01-Lesson 02_LinkedIn Review/
index.html	3.9 KB
Project Description - LinkedIn Profile Review Project.html	6.3 KB
02. Resources in Your Career Portal.html	6.4 KB
01. Using LinkedIn.html	9.5 KB
Project Rubric - LinkedIn Profile Review Project.html	12.8 KB
/Part 09-Module 02-Lesson 01_Create a Tableau Story/
index.html	3.9 KB
03. Share Your Work.html	6.2 KB
01. Project Overview.html	7.1 KB
Project Description - Create a Tableau Story.html	7.5 KB
Project Rubric - Create a Tableau Story.html	9.4 KB
02. Project Details.html	13.0 KB
/Part 17-Module 01-Lesson 01_Matrix Math and NumPy Refresher/
04. Element-wise Matrix Operations-vjUykZyzko4.zh-CN.vtt	4.1 KB
04. Element-wise Matrix Operations-vjUykZyzko4.en.vtt	4.3 KB
04. Element-wise Matrix Operations-vjUykZyzko4.pt-BR.vtt	4.4 KB
index.html	4.4 KB
02. Data Dimensions.html	5.9 KB
09. Matrix Transposes.html	5.9 KB
04. Element-wise Matrix Operations.html	6.0 KB
01. Introduction.html	6.1 KB
06. Matrix Multiplication Part 1.html	6.2 KB
07. Matrix Multiplication Part 2.html	7.2 KB
02. Data Has Dimensions-F4NSv776X0c.zh-CN.vtt	7.8 KB
06. Matrix Multiplication Part 1-JRoCFQRP4B0.zh-CN.vtt	7.9 KB
06. Matrix Multiplication Part 1-JRoCFQRP4B0.pt-BR.vtt	8.1 KB
06. Matrix Multiplication Part 1-JRoCFQRP4B0.en.vtt	8.1 KB
07. Matrix Multiplication Part 2-8jtk8BzBdj8.zh-CN.vtt	8.8 KB
02. Data Has Dimensions-F4NSv776X0c.en.vtt	8.9 KB
08. NumPy Matrix Multiplication.html	8.9 KB
02. Data Has Dimensions-F4NSv776X0c.pt-BR.vtt	9.0 KB
05. Element-wise Operations in NumPy.html	9.4 KB
10. Transposes in NumPy.html	9.4 KB
07. Matrix Multiplication Part 2-8jtk8BzBdj8.pt-BR.vtt	9.5 KB
07. Matrix Multiplication Part 2-8jtk8BzBdj8.en.vtt	10.1 KB
09. Matrix Transposes-NVK5xCY3CZE.zh-CN.vtt	10.6 KB
11. NumPy Quiz.html	10.7 KB
09. Matrix Transposes-NVK5xCY3CZE.pt-BR.vtt	11.4 KB
09. Matrix Transposes-NVK5xCY3CZE.en-US.vtt	12.1 KB
03. Data in NumPy.html	13.7 KB
/Part 08-Module 05-Lesson 01_Wrangle and Analyze Data/
index.html	4.2 KB
05. Project Workspace Complete and Submit Project.html	6.0 KB
Project Description - Wrangle and Analyze Data.html	7.7 KB
01. Project Overview.html	8.7 KB
03. Project Details.html	11.1 KB
04. Twitter API.html	12.0 KB
02. Project Motivation.html	12.4 KB
Project Rubric - Wrangle and Analyze Data.html	13.5 KB
/Part 06-Module 02-Lesson 01_Statistics and Programming Exercises/
index.html	4.2 KB
02. Socks from a Box.html	6.1 KB
04. Football Statistics.html	6.4 KB
03. Candy Conundrum.html	6.5 KB
01. Introduction.html	6.6 KB
07. Most Frequent Word.html	7.6 KB
08. Date Projection.html	7.6 KB
05. Paired T-test Quiz.html	8.4 KB
06. Effect of Management Style on Worker Speed.html	9.7 KB
/Part 06-Module 02-Lesson 02_Test a Perceptual Phenomenon/
index.html	4.2 KB
03. Project Workspace Complete and Submit Project.html	6.0 KB
02. Completing and Submitting this Project - Two Options.html	6.7 KB
Project Description - Test a Perceptual Phenomenon.html	7.4 KB
01. Project Overview.html	7.7 KB
Project Rubric - Test a Perceptual Phenomenon.html	7.9 KB
04. Final Check of Instructions.html	8.2 KB
/Part 03-Module 04-Lesson 01_Investigate a Dataset/
index.html	4.2 KB
05. Project Walkthrough.html	5.6 KB
04. Project Workspace Complete and Submit Project.html	6.1 KB
03. Completing and Submitting this Project - Two Options.html	6.8 KB
01. Project Overview.html	7.6 KB
Project Description - Investigate a Dataset.html	8.2 KB
02. Project Details.html	9.5 KB
Project Rubric - Investigate a Dataset.html	10.8 KB
05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.pt-BR.vtt	23.9 KB
05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.en.vtt	25.7 KB
/Part 07-Module 02-Lesson 01_Explore and Summarize Data/
index.html	4.2 KB
06. Project Walkthrough.html	5.3 KB
03. Project Template RMD File.html	6.9 KB
05. Example Project.html	7.1 KB
04. Evaluation and Submission.html	7.4 KB
01. Project Overview.html	9.1 KB
Project Description - Explore and Summarize Data.html	9.6 KB
02. Project Details.html	11.3 KB
Project Rubric - Explore and Summarize Data.html	15.3 KB
/Part 02-Module 02-Lesson 01_Python Project/
index.html	4.3 KB
08. Project Walkthrough.html	5.9 KB
07. Project Notebook.html	6.2 KB
01. Project Overview.html	6.5 KB
04. Code Cells.html	6.7 KB
02. Project Details.html	7.5 KB
Project Description - Explore US Bikeshare Data.html	9.0 KB
03. Notebook interface.html	9.5 KB
Project Rubric - Explore US Bikeshare Data.html	9.5 KB
05. Markdown cells.html	9.6 KB
06. Magic keywords.html	10.0 KB
08. Classroom DAND-Explore US Bikeshare Data Walkthrough-0yuglNRWyKs.zh-CN.vtt	10.5 KB
08. Classroom DAND-Explore US Bikeshare Data Walkthrough-0yuglNRWyKs.en.vtt	12.1 KB
08. Classroom DAND-Explore US Bikeshare Data Walkthrough-0yuglNRWyKs.pt-BR.vtt	12.4 KB
/Part 13-Module 01-Lesson 03_Udacity Professional Profile/
index.html	4.4 KB
08. Experience.html	6.0 KB
06. Skills.html	6.4 KB
01. Introduction.html	6.5 KB
02. Getting Started.html	6.6 KB
05. Recruitment Data.html	7.0 KB
Project Description - Udacity Professional Profile Review.html	7.0 KB
09. Resources in Your Career Portal.html	7.1 KB
04. Top Section.html	8.0 KB
07. Projects.html	8.2 KB
03. Customizing Your Profile.html	9.0 KB
Project Rubric - Udacity Professional Profile Review.html	10.3 KB
/Part 04-Module 02-Lesson 01_Analyze AB Test Results/
index.html	4.6 KB
08. Project Workspace Complete and Submit Project.html	6.5 KB
09. Check Rubric.html	6.7 KB
01. Project Details.html	7.0 KB
07. Completing and Submitting this Project in the Classroom.html	7.2 KB
Project Description - Analyze AB Test Results.html	7.9 KB
Project Rubric - Analyze AB Test Results.html	8.0 KB
03. Quiz 2 Messy Data.html	8.2 KB
05. Quiz 4 Probability.html	9.2 KB
02. Quiz 1 Understanding the Dataset.html	9.5 KB
04. Quiz 3 Updated DataFrame.html	9.5 KB
06. Quiz 5 Hypothesis Testing.html	9.9 KB
/Part 07-Module 01-Lesson 08_Problem Set Explore Many Variables/
index.html	4.7 KB
09. Largest Group Mean prop_initiated.html	6.5 KB
08. Greatest prop_initiated Group.html	6.8 KB
03. Typical Table Value.html	7.1 KB
07. Smoothing prop_initiated vs. tenure.html	7.2 KB
02. Price vs. Table Colored by Cut.html	7.4 KB
10. PriceCarat Binned, Faceted, Colored.html	7.5 KB
01. Price Histograms with Facet and Color.html	7.5 KB
04. Price vs. Volume and Diamond Clarity.html	7.6 KB
06. prop_initiated vs. tenure.html	7.8 KB
05. Proportion of Friendships Initiated.html	8.3 KB
11. Gapminder Multivariate Analysis.html	8.3 KB
/Part 07-Module 01-Lesson 06_Problem Set Explore Two Variables/
index.html	4.8 KB
15. Trends in Mean Price.html	6.5 KB
02. Findings - price vs. x.html	6.5 KB
10. Findings - price vs. volume.html	6.5 KB
06. Typical Depth Range.html	6.8 KB
08. price vs. carat.html	7.0 KB
03. Correlations.html	7.1 KB
04. price vs. depth.html	7.1 KB
01. price vs. x.html	7.1 KB
11. Correlations on Subsets.html	7.2 KB
07. Correlation - price and depth.html	7.2 KB
09. price vs. volume.html	7.4 KB
05. Adjustments - price vs. depth.html	7.8 KB
12. Adjustments - price vs. volume.html	7.8 KB
16. Gapminder Revisited.html	8.4 KB
14. Bar Charts of Mean Price.html	8.8 KB
13. Mean Price by Clarity.html	9.2 KB
/Part 07-Module 01-Lesson 04_Problem Set Explore One Variable/
index.html	4.8 KB
03. Price Histogram Summary.html	6.5 KB
02. Price Histogram.html	6.9 KB
14. Data Wrangling with R.html	6.9 KB
04. Diamond Counts.html	7.1 KB
06. Price by Cut Histograms.html	7.1 KB
05. Cheaper Diamonds.html	7.8 KB
09. Price per Carat by Cut.html	7.9 KB
12. Price per Carat Box Plots by Color.html	8.1 KB
10. Price Box Plots.html	8.1 KB
11. Interquartile Range - IQR.html	8.4 KB
01. Diamonds.html	8.7 KB
13. Carat Frequency Polygon.html	8.9 KB
15. Gapminder Data.html	9.2 KB
08. Scales and Multiple Histograms.html	9.7 KB
16. Exploring Your Friends' Birthdays.html	10.5 KB
07. Price by Cut.html	10.5 KB
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