FreeCourseSite com Udemy Statistics for Data Analysis Using Python

FreeCourseSite com Udemy Statistics for Data Analysis Using Python

Name	[FreeCourseSite.com] Udemy - Statistics for Data Analysis Using Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.2 GB
Total Files	289
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Hash	B2869145CE2625983CAC2DF91055F81EFEAC8CC9

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1. Introduction/
1. Installing Anaconda.mp4	62.5 MB
1. Installing Anaconda.srt	9.4 KB
10. Solution Select an element from the list.html	0.1 KB
11. Working with a List - Part 2.mp4	36.5 MB
11. Working with a List - Part 2.srt	8.4 KB
12. A review of lists.html	0.1 KB
13. Solution A review of lists.html	0.1 KB
14. Working with a Dictionary.mp4	45.0 MB
14. Working with a Dictionary.srt	9.4 KB
15. Working with a Tuple.mp4	26.8 MB
15. Working with a Tuple.srt	4.6 KB
16. Working with a Set.mp4	16.7 MB
16. Working with a Set.srt	4.0 KB
17. Logical Operators.mp4	29.5 MB
17. Logical Operators.srt	5.3 KB
2. Getting started with Jupyter Notebook.mp4	54.4 MB
2. Getting started with Jupyter Notebook.srt	12.1 KB
3. Download Section 1 Resources and the Course Slides.html	0.2 KB
3.1 Section 1.ipynb	36.9 KB
3.2 Python Statistics Slides.pdf	3.0 MB
4. Getting started with Python.mp4	72.8 MB
4. Getting started with Python.srt	18.3 KB
5. Variables and Data Types.mp4	40.2 MB
5. Variables and Data Types.srt	8.2 KB
6. Introduction to coding exercises.html	0.1 KB
7. Solution Introduction to coding exercises.html	0.1 KB
8. Working with a List - Part 1.mp4	87.5 MB
8. Working with a List - Part 1.srt	21.6 KB
9. Select an element from the list.html	0.1 KB
2. Descriptive Statistics/
1. Download Section 2 Resources.html	0.1 KB
1.1 Section 2.ipynb	12.0 KB
10. Solution Find the Inter Quartile Range.html	0.1 KB
2. [Theory] Measurement of Central Tendency.mp4	83.9 MB
2. [Theory] Measurement of Central Tendency.srt	11.0 KB
3. [Theory] Measurement of Dispersion - Part 1.mp4	65.6 MB
3. [Theory] Measurement of Dispersion - Part 1.srt	9.0 KB
4. [Theory] Measurement of Dispersion - Part 2.mp4	51.3 MB
4. [Theory] Measurement of Dispersion - Part 2.srt	7.9 KB
5. Quiz Descriptive Statistics.html	0.1 KB
6. Descriptive Statistics Using Python.mp4	89.3 MB
6. Descriptive Statistics Using Python.srt	18.2 KB
7. Find the mean, mode, median and standard deviation.html	0.1 KB
8. Solution Find the mean, mode, median and standard deviation.html	0.2 KB
9. Find the Inter Quartile Range.html	0.1 KB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/
1. Download Section 3 Resources.html	0.1 KB
1.1 Section 3.ipynb	203.6 KB
10. Select a subsection of an Array.html	0.1 KB
11. Solution Select a subsection of an Array.html	0.1 KB
12. NumPy - Part 3.mp4	76.7 MB
12. NumPy - Part 3.srt	13.2 KB
13. Divide the Array elements by 10.html	0.1 KB
14. Solution Divide the array elements by 10.html	0.1 KB
15. [Theory] Basics of Probability - Part 1.mp4	54.0 MB
15. [Theory] Basics of Probability - Part 1.srt	10.5 KB
16. [Theory] Basics of Probability - Part 2.mp4	93.2 MB
16. [Theory] Basics of Probability - Part 2.srt	15.3 KB
17. [Theory] Basics of Probability - Part 3.mp4	72.8 MB
17. [Theory] Basics of Probability - Part 3.srt	11.9 KB
18. Quiz Basics of Probability.html	0.1 KB
19. Generating Random Numbers to Simulate the Probability.mp4	91.8 MB
19. Generating Random Numbers to Simulate the Probability.srt	19.4 KB
2. NumPy - Part 1.mp4	78.6 MB
2. NumPy - Part 1.srt	21.3 KB
2.1 Section 3.ipynb	203.3 KB
20. A Sample Probability Question.mp4	60.5 MB
20. A Sample Probability Question.srt	11.7 KB
21. Generate Five Random Numbers.html	0.1 KB
22. Solution Generate Five Random Numbers.html	0.1 KB
23. [Theory] Probability Distributions - Introduction.mp4	43.9 MB
23. [Theory] Probability Distributions - Introduction.srt	9.8 KB
24. [Theory] Binomial Distribution.mp4	133.4 MB
24. [Theory] Binomial Distribution.srt	19.2 KB
25. Quiz Binomial Distribution.html	0.1 KB
26. Binomial Distribution Using NumPy.mp4	77.2 MB
26. Binomial Distribution Using NumPy.srt	17.3 KB
27. Introducing SciPy Package for Binomial Distributions.mp4	113.3 MB
27. Introducing SciPy Package for Binomial Distributions.srt	23.0 KB
28. Flipping a Coin.html	0.1 KB
29. Solution Flipping a Coin.html	0.1 KB
3. Two Dimensional Array.html	0.1 KB
30. Let's Flip Again.html	0.1 KB
31. Solution Let's Flip Again.html	0.1 KB
32. Number of defectives in a selection.html	0.1 KB
33. Solution Number of defectives in a selection.html	0.1 KB
34. [Theory] Poisson Distribution.mp4	73.2 MB
34. [Theory] Poisson Distribution.srt	7.7 KB
35. [Theory] Poisson Distributions - An Example.mp4	63.4 MB
35. [Theory] Poisson Distributions - An Example.srt	7.4 KB
36. Poisson Distribution Using NumPy.mp4	48.7 MB
36. Poisson Distribution Using NumPy.srt	10.3 KB
37. Poisson Distribution Using SciPy.mp4	80.2 MB
37. Poisson Distribution Using SciPy.srt	15.9 KB
38. Receiving Phone Calls.html	0.1 KB
39. Solution Receiving Phone Calls.html	0.1 KB
4. Solution Two Dimensional Array.html	0.1 KB
40. Probability of more than 6 calls.html	0.1 KB
41. Solution Probability of more than 6 calls.html	0.1 KB
42. [Theory] Normal Distribution - Part 1.mp4	94.7 MB
42. [Theory] Normal Distribution - Part 1.srt	14.6 KB
43. [Theory] Normal Distribution - Part 2.mp4	87.0 MB
43. [Theory] Normal Distribution - Part 2.srt	14.2 KB
44. Quiz Normal Distrubution.html	0.1 KB
45. Normal Distribution Using NumPy.mp4	77.8 MB
45. Normal Distribution Using NumPy.srt	14.5 KB
46. Normal Distribution Using SciPy.mp4	107.2 MB
46. Normal Distribution Using SciPy.srt	16.0 KB
47. Area of curve between two values of z.html	0.1 KB
48. Solution Area of curve between two values of z.html	0.3 KB
49. Descriptive Statistics Using NumPy.mp4	65.7 MB
49. Descriptive Statistics Using NumPy.srt	13.7 KB
5. Creating a Numpy array.html	0.1 KB
50. Mean of Rows.html	0.1 KB
51. Solution Mean of Rows.html	0.6 KB
6. Solution Creating a Numpy array.html	0.1 KB
7. NumPy - Part 2.mp4	78.8 MB
7. NumPy - Part 2.srt	16.2 KB
8. Filtering from an Array.html	0.1 KB
9. Solution Filtering from an Array.html	0.1 KB
4. Pandas Package/
1. Download Section 4 Resources.html	0.1 KB
1.1 Piece_Dim.csv	1.6 KB
1.2 Section 4.ipynb	107.2 KB
10. DataFrame - Dealing with Rows.mp4	162.3 MB
10. DataFrame - Dealing with Rows.srt	35.6 KB
11. What is the Temperature on Monday.html	0.1 KB
12. Solution What is the Temperature on Monday.html	0.4 KB
2. Pandas Series.mp4	91.2 MB
2. Pandas Series.srt	14.7 KB
2.1 Section 4.ipynb	107.2 KB
3. Pandas DataFrame.mp4	55.5 MB
3. Pandas DataFrame.srt	10.2 KB
4. Create a DataFrame.html	0.1 KB
5. Solution Create a DataFrame.html	0.4 KB
6. Reading a .csv File (Importing External Data).mp4	83.2 MB
6. Reading a .csv File (Importing External Data).srt	17.1 KB
6.1 Piece_Dim.csv	1.6 KB
7. Importing a CSV file.html	0.1 KB
8. Solution Importing a CSV file.html	0.1 KB
9. DataFrame - Dealing with Columns.mp4	65.6 MB
9. DataFrame - Dealing with Columns.srt	14.1 KB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/
1. Download Section 5 Resources.html	0.1 KB
1.1 Section 5.ipynb	891.3 KB
1.2 Piece_Dim.csv	1.6 KB
10. Visualizing the Titanic dataset.mp4	105.4 MB
10. Visualizing the Titanic dataset.srt	23.5 KB
2. Histogram using matplotlib.pyplot.mp4	62.1 MB
2. Histogram using matplotlib.pyplot.srt	13.2 KB
3. Box Plot using matplotlib.pyplot.mp4	78.2 MB
3. Box Plot using matplotlib.pyplot.srt	14.0 KB
4. Line and Scatter Plots using matplotlib.pyplot.mp4	56.7 MB
4. Line and Scatter Plots using matplotlib.pyplot.srt	11.8 KB
5. Bar Plot using matplotlib.pyplot.mp4	49.3 MB
5. Bar Plot using matplotlib.pyplot.srt	11.3 KB
6. Saving the plot as .png or .jpg.mp4	36.1 MB
6. Saving the plot as .png or .jpg.srt	5.6 KB
7. Seaborn - Displot group of plots.mp4	80.5 MB
7. Seaborn - Displot group of plots.srt	19.3 KB
8. Seaborn - Catplot group of plots.mp4	71.2 MB
8. Seaborn - Catplot group of plots.srt	15.6 KB
9. Seaborn - Relplot group of plots.mp4	85.2 MB
9. Seaborn - Relplot group of plots.srt	12.7 KB
6. Inferential Statistics and Hypothesis Testing - Introduction/
1. Download Section 6 Resources.html	0.1 KB
1.1 Section 6.ipynb	73.0 KB
10. [Theory] Types of Errors - Type I and Type II Errors.mp4	79.0 MB
10. [Theory] Types of Errors - Type I and Type II Errors.srt	15.6 KB
11. [Theory] Types of Errors - Summary.mp4	94.0 MB
11. [Theory] Types of Errors - Summary.srt	16.0 KB
12. [Theory] Hypothesis Testing - An Overview.mp4	88.8 MB
12. [Theory] Hypothesis Testing - An Overview.srt	15.8 KB
13. [Theory] Z Tables - Finding the Critical Values.mp4	104.9 MB
13. [Theory] Z Tables - Finding the Critical Values.srt	11.2 KB
14. [Theory] The p-Value.mp4	54.4 MB
14. [Theory] The p-Value.srt	5.5 KB
15. Quiz Hypothesis Testing Basics.html	0.1 KB
16. Hypothesis Testing Using Python.mp4	107.5 MB
16. Hypothesis Testing Using Python.srt	15.2 KB
2. [Theory] Population vs Samples.mp4	63.2 MB
2. [Theory] Population vs Samples.srt	10.3 KB
2.1 Section 6.ipynb	73.0 KB
3. [Theory] Central Limit Theorem.mp4	71.6 MB
3. [Theory] Central Limit Theorem.srt	13.2 KB
4. Quiz Population vs Samples + Central Limit Theorem.html	0.1 KB
5. Central Limit Theorem - Using Python.mp4	134.1 MB
5. Central Limit Theorem - Using Python.srt	23.4 KB
6. [Theory] Basics of Hypothesis Testing.mp4	17.1 MB
6. [Theory] Basics of Hypothesis Testing.srt	4.2 KB
7. [Theory] Statistical and Practical Significance.mp4	40.1 MB
7. [Theory] Statistical and Practical Significance.srt	8.2 KB
8. [Theory] Null and Alternate Hypothesis.mp4	22.7 MB
8. [Theory] Null and Alternate Hypothesis.srt	4.4 KB
9. [Theory] Hypothesis Testing - A Simple Introduction.mp4	101.1 MB
9. [Theory] Hypothesis Testing - A Simple Introduction.srt	16.1 KB
7. Hypothesis Testing Part 1 (One Sample Tests)/
1. Download Section 7 Resources.html	0.1 KB
1.1 Machine1.csv	0.8 KB
1.2 Smokers.csv	1.4 KB
1.3 Section 7.ipynb	67.9 KB
10. One Proportion Test Using Python.mp4	85.6 MB
10. One Proportion Test Using Python.srt	15.2 KB
10.1 Smokers.csv	1.4 KB
11. [Theory] One Variance Test - Introduction.mp4	29.2 MB
11. [Theory] One Variance Test - Introduction.srt	5.1 KB
12. [Theory] One Variance Test - Example 1.mp4	55.9 MB
12. [Theory] One Variance Test - Example 1.srt	9.4 KB
13. [Theory] One Variance Test - Example 2.mp4	65.8 MB
13. [Theory] One Variance Test - Example 2.srt	7.4 KB
14. One Variance Test Using Python.mp4	72.8 MB
14. One Variance Test Using Python.srt	12.4 KB
15. Quiz Hypothesis Testing Part 1.html	0.1 KB
2. [Theory] Tests for means, variances and proportions - Introduction.mp4	101.2 MB
2. [Theory] Tests for means, variances and proportions - Introduction.srt	11.3 KB
2.1 Section 7.ipynb	67.9 KB
3. [Theory] One Sample Z Test - Conditions.mp4	52.5 MB
3. [Theory] One Sample Z Test - Conditions.srt	9.8 KB
4. [Theory] One Sample Z Test.mp4	87.4 MB
4. [Theory] One Sample Z Test.srt	8.8 KB
5. One Sample Z Test - Examples.mp4	51.9 MB
5. One Sample Z Test - Examples.srt	6.8 KB
6. One Sample Z Test Using Python.mp4	95.0 MB
6. One Sample Z Test Using Python.srt	19.8 KB
6.1 Machine1.csv	0.8 KB
7. One Sample t Test.mp4	86.3 MB
7. One Sample t Test.srt	12.0 KB
8. One Sample t Test Using Python.mp4	31.3 MB
8. One Sample t Test Using Python.srt	6.2 KB
9. [Theory] One Proportion Test.mp4	98.0 MB
9. [Theory] One Proportion Test.srt	16.1 KB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/
1. Download Section 8 Resources.html	0.1 KB
1.1 Two Machines.csv	3.6 KB
1.2 Section 8.ipynb	127.0 KB
10. Two Sample t Test Using Python.mp4	50.6 MB
10. Two Sample t Test Using Python.srt	7.9 KB
11. [Theory] Paired t Test.mp4	93.3 MB
11. [Theory] Paired t Test.srt	14.0 KB
12. Paired t Test Using Python.mp4	36.0 MB
12. Paired t Test Using Python.srt	6.1 KB
13. [Theory] Two Proportions Test - Introduction.mp4	55.2 MB
13. [Theory] Two Proportions Test - Introduction.srt	7.7 KB
14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4	48.9 MB
14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt	5.3 KB
15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4	62.6 MB
15. [Theory] Two Proportions Test - An Example of Pooled Method.srt	10.9 KB
16. Two Proportions Test Using Python.mp4	57.1 MB
16. Two Proportions Test Using Python.srt	9.6 KB
17. [Theory] Two Variances Test.mp4	99.6 MB
17. [Theory] Two Variances Test.srt	16.7 KB
18. Two Variances Test Using Python.mp4	72.4 MB
18. Two Variances Test Using Python.srt	15.5 KB
19. [Theory] ANOVA - Introduction.mp4	42.0 MB
19. [Theory] ANOVA - Introduction.srt	7.8 KB
2. [Theory] Two Sample z Test - Introduction.mp4	33.8 MB
2. [Theory] Two Sample z Test - Introduction.srt	7.3 KB
2.1 Section 8.ipynb	127.0 KB
20. [Theory] Why ANOVA.mp4	50.5 MB
20. [Theory] Why ANOVA.srt	7.5 KB
21. [Theory] ANOVA - Conceptual Understanding.mp4	41.0 MB
21. [Theory] ANOVA - Conceptual Understanding.srt	10.5 KB
22. [Theory] Statistics behind ANOVA.mp4	38.6 MB
22. [Theory] Statistics behind ANOVA.srt	9.4 KB
23. [Theory] Performing ANOVA by Manual Calculations.mp4	78.7 MB
23. [Theory] Performing ANOVA by Manual Calculations.srt	18.3 KB
24. Conducting ANOVA Using Python.mp4	57.5 MB
24. Conducting ANOVA Using Python.srt	9.0 KB
25. Conducting ANOVA Using Python - mpg Dataset.mp4	81.7 MB
25. Conducting ANOVA Using Python - mpg Dataset.srt	16.2 KB
26. [Theory] Goodness of Fit.mp4	74.2 MB
26. [Theory] Goodness of Fit.srt	15.4 KB
27. Goodness of Fit Test Using Python.mp4	70.7 MB
27. Goodness of Fit Test Using Python.srt	12.1 KB
28. [Theory] Contingency Tables.mp4	60.4 MB
28. [Theory] Contingency Tables.srt	14.1 KB
29. Quiz Hypothesis Testing Part 2.html	0.1 KB
3. [Theory] Two Sample z Test - Example.mp4	42.4 MB
3. [Theory] Two Sample z Test - Example.srt	7.5 KB
30. Contingency Tables Using Python.mp4	100.6 MB
30. Contingency Tables Using Python.srt	18.9 KB
4. Two Sample z Test Using Python.mp4	70.1 MB
4. Two Sample z Test Using Python.srt	15.5 KB
5. Two Sample z Test Using Python - tips Dataset.mp4	58.5 MB
5. Two Sample z Test Using Python - tips Dataset.srt	10.8 KB
6. [Theory] Two Sample t Test - Conditions and Calculations.mp4	62.0 MB
6. [Theory] Two Sample t Test - Conditions and Calculations.srt	12.6 KB
7. [Theory] Two Sample t Test - Equal Variance.mp4	92.6 MB
7. [Theory] Two Sample t Test - Equal Variance.srt	11.6 KB
8. [Theory] Two Sample t Test - Unequal Variance.mp4	109.3 MB
8. [Theory] Two Sample t Test - Unequal Variance.srt	15.0 KB
9. [Theory] Two Sample t Test - Visual Interpretation.mp4	39.5 MB
9. [Theory] Two Sample t Test - Visual Interpretation.srt	7.0 KB
Total files 289