Udemy probability for statistics and data science | 7BA1BB7B99A676B7A47A2538F2C14F5DDAB8D0F3

Udemy probability for statistics and data science

Name	udemy-probability-for-statistics-and-data-science	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.1 GB
Total Files	474
Hash	7BA1BB7B99A676B7A47A2538F2C14F5DDAB8D0F3

/
Udemy - Probability for Statistics and Data Science.torrent	41.2 KB
Udemy - Probability for Statistics and Data Science_torrent.txt	20.6 KB
[Tutorialsplanet.NET].url	0.1 KB
__ia_thumb.jpg	8.2 KB
udemy-probability-for-statistics-and-data-science_meta.sqlite	11.3 KB
udemy-probability-for-statistics-and-data-science_meta.xml	0.9 KB
/5. Tie-ins to Other Fields/
1. Tie-ins to Finance.mp4	103.6 MB
1. Tie-ins to Finance.srt	10.1 KB
1.1 Probability in Finance Homework.pdf	113.3 KB
1.1 Probability in Finance Homework_abbyy.gz	5.2 KB
1.1 Probability in Finance Homework_djvu.txt	0.3 KB
1.1 Probability in Finance Homework_djvu.xml	6.8 KB
1.1 Probability in Finance Homework_jp2.zip	390.6 KB
1.1 Probability in Finance Homework_scandata.xml	0.9 KB
1.2 Probability in Finance Solutions.pdf	188.9 KB
1.2 Probability in Finance Solutions_abbyy.gz	28.1 KB
1.2 Probability in Finance Solutions_djvu.txt	1.9 KB
1.2 Probability in Finance Solutions_djvu.xml	25.2 KB
1.2 Probability in Finance Solutions_jp2.zip	1.1 MB
1.2 Probability in Finance Solutions_scandata.xml	0.9 KB
2. Tie-ins to Statistics.mp4	80.9 MB
2. Tie-ins to Statistics.srt	8.6 KB
3. Tie-ins to Data Science.mp4	66.5 MB
3. Tie-ins to Data Science.srt	6.8 KB
/3. Bayesian Inference/
1. What is a set.mp4	47.7 MB
1. What is a set.srt	5.3 KB
1.1 Section 3 Course Notes.pdf	395.3 KB
1.1 Section 3 Course Notes_abbyy.gz	103.3 KB
1.1 Section 3 Course Notes_djvu.txt	6.5 KB
1.1 Section 3 Course Notes_djvu.xml	99.6 KB
1.1 Section 3 Course Notes_jp2.zip	2.5 MB
1.1 Section 3 Course Notes_scandata.xml	3.5 KB
10. Are all complements mutually exclusive.html	0.2 KB
11. What does it mean to for two events to be dependent.mp4	36.5 MB
11. What does it mean to for two events to be dependent.srt	3.5 KB
12. What does it mean to for two events to be dependent.html	0.2 KB
13. What is the difference between P(AB) and P(BA).mp4	48.1 MB
13. What is the difference between P(AB) and P(BA).srt	5.1 KB
14. What is the difference between P(AB) and P(BA).html	0.2 KB
15. Conditional Probability in Real-Life.mp4	36.6 MB
15. Conditional Probability in Real-Life.srt	3.6 KB
16. How do we apply the additive rule.mp4	28.3 MB
16. How do we apply the additive rule.srt	2.8 KB
17. How do we apply the additive rule.html	0.2 KB
18. How do we derive the Multiplication Rule formula.mp4	51.4 MB
18. How do we derive the Multiplication Rule formula.srt	4.7 KB
19. How do we interpret the Multiplication Rule Formula.html	0.2 KB
2. What is a set.html	0.2 KB
20. When do we use Bayes' Theorem in Real Life.mp4	52.4 MB
20. When do we use Bayes' Theorem in Real Life.srt	7.4 KB
21. Bayes' Theorem.html	0.2 KB
22. Practical Example Bayesian Inference.mp4	152.0 MB
22. Practical Example Bayesian Inference.srt	19.8 KB
22.1 CDS_2017-2018 Hamilton.pdf	865.6 KB
22.1 CDS_2017-2018 Hamilton_abbyy.gz	1.3 MB
22.1 CDS_2017-2018 Hamilton_djvu.txt	94.6 KB
22.1 CDS_2017-2018 Hamilton_djvu.xml	964.0 KB
22.1 CDS_2017-2018 Hamilton_jp2.zip	13.8 MB
22.1 CDS_2017-2018 Hamilton_scandata.xml	9.8 KB
22.2 Bayesian Homework .pdf	27.9 KB
22.2 Bayesian Homework _abbyy.gz	8.4 KB
22.2 Bayesian Homework _djvu.txt	0.6 KB
22.2 Bayesian Homework _djvu.xml	7.4 KB
22.2 Bayesian Homework _jp2.zip	144.6 KB
22.2 Bayesian Homework _scandata.xml	0.6 KB
22.3 Bayesian Homework - Solutions.pdf	31.1 KB
22.3 Bayesian Homework - Solutions_abbyy.gz	34.3 KB
22.3 Bayesian Homework - Solutions_djvu.txt	2.6 KB
22.3 Bayesian Homework - Solutions_djvu.xml	26.4 KB
22.3 Bayesian Homework - Solutions_jp2.zip	595.1 KB
22.3 Bayesian Homework - Solutions_scandata.xml	0.6 KB
3. What are the different ways two events can interact with one another.mp4	49.7 MB
3. What are the different ways two events can interact with one another.srt	4.5 KB
4. What are the different ways two events can interact with one another.html	0.2 KB
5. What is the intersection of sets A and B.mp4	28.2 MB
5. What is the intersection of sets A and B.srt	2.5 KB
6. What is the intersection of sets A and B.html	0.2 KB
7. What is the union of sets A and B.mp4	60.0 MB
7. What is the union of sets A and B.srt	5.7 KB
8. What is the union of sets A and B.html	0.2 KB
9. Are all complements mutually exclusive.mp4	26.6 MB
9. Are all complements mutually exclusive.srt	2.6 KB
/2. Combinatorics/
1. Why are combinatorics useful.mp4	17.0 MB
1. Why are combinatorics useful.srt	1.3 KB
1.1 Section 2 Course Notes.pdf	231.5 KB
1.1 Section 2 Course Notes_abbyy.gz	67.7 KB
1.1 Section 2 Course Notes_djvu.txt	4.2 KB
1.1 Section 2 Course Notes_djvu.xml	71.7 KB
1.1 Section 2 Course Notes_jp2.zip	1.4 MB
1.1 Section 2 Course Notes_scandata.xml	2.0 KB
10. Computing Variations without Repetition.html	0.2 KB
11. What are combinations and how are they similar to variations.mp4	60.1 MB
11. What are combinations and how are they similar to variations.srt	5.7 KB
11.1 Combinations With Repetition.pdf	229.1 KB
11.1 Combinations With Repetition_abbyy.gz	94.0 KB
11.1 Combinations With Repetition_djvu.txt	6.5 KB
11.1 Combinations With Repetition_djvu.xml	84.6 KB
11.1 Combinations With Repetition_jp2.zip	2.3 MB
11.1 Combinations With Repetition_scandata.xml	2.9 KB
12. What are combinations and how are they similar to variations.html	0.2 KB
13. What is symmetry in Combinations.mp4	42.2 MB
13. What is symmetry in Combinations.srt	4.4 KB
13.1 Symmetry Explained.pdf	87.1 KB
13.1 Symmetry Explained_abbyy.gz	9.7 KB
13.1 Symmetry Explained_djvu.txt	0.5 KB
13.1 Symmetry Explained_djvu.xml	12.8 KB
13.1 Symmetry Explained_jp2.zip	368.6 KB
13.1 Symmetry Explained_scandata.xml	0.6 KB
14. What is symmetry in Combinations.html	0.2 KB
15. How do we combine combinations of events with separate sample spaces.mp4	34.6 MB
15. How do we combine combinations of events with separate sample spaces.srt	3.8 KB
16. How do we combine combinations of events with separate sample spaces.html	0.2 KB
17. What is the chance of a single ticket winning the lottery.mp4	43.3 MB
17. What is the chance of a single ticket winning the lottery.srt	4.2 KB
18. What is the chance of winning the lottery.html	0.2 KB
19. A Summary of Combinatorics.mp4	40.2 MB
19. A Summary of Combinatorics.srt	3.8 KB
2. Why are combinatorics useful.html	0.2 KB
20. Practical Example Combinatorics.mp4	140.9 MB
20. Practical Example Combinatorics.srt	14.3 KB
20.1 Additional Exercises Combinatorics.pdf	109.1 KB
20.1 Additional Exercises Combinatorics_abbyy.gz	58.9 KB
20.1 Additional Exercises Combinatorics_djvu.txt	4.7 KB
20.1 Additional Exercises Combinatorics_djvu.xml	47.7 KB
20.1 Additional Exercises Combinatorics_jp2.zip	808.3 KB
20.1 Additional Exercises Combinatorics_scandata.xml	0.9 KB
20.2 Additional Exercises Combinatorics Solutions.pdf	251.6 KB
20.2 Additional Exercises Combinatorics Solutions_abbyy.gz	189.3 KB
20.2 Additional Exercises Combinatorics Solutions_djvu.txt	14.5 KB
20.2 Additional Exercises Combinatorics Solutions_djvu.xml	165.7 KB
20.2 Additional Exercises Combinatorics Solutions_jp2.zip	2.5 MB
20.2 Additional Exercises Combinatorics Solutions_scandata.xml	2.0 KB
3. When do we use Permutations.mp4	43.5 MB
3. When do we use Permutations.srt	4.2 KB
4. When do we use Permutations.html	0.2 KB
5. Solving Factorials.mp4	37.9 MB
5. Solving Factorials.srt	3.3 KB
6. Solving Factorials.html	0.2 KB
7. Why can we use certain values more than once.mp4	35.6 MB
7. Why can we use certain values more than once.srt	3.6 KB
8. Why can we use certain values more than once.html	0.2 KB
9. What if we couldn't use certain values more than once.mp4	45.2 MB
9. What if we couldn't use certain values more than once.srt	4.6 KB
/4. Distributions/
1. What is a probability distribution.mp4	76.9 MB
1. What is a probability distribution.srt	7.7 KB
1.1 Course Notes - Probability Distributions.pdf	458.8 KB
1.1 Course Notes - Probability Distributions_abbyy.gz	138.9 KB
1.1 Course Notes - Probability Distributions_djvu.txt	8.9 KB
1.1 Course Notes - Probability Distributions_djvu.xml	135.0 KB
1.1 Course Notes - Probability Distributions_jp2.zip	8.2 MB
1.1 Course Notes - Probability Distributions_scandata.xml	4.4 KB
10. What is the Bernoulli Distribution.html	0.2 KB
11. What is the Binomial Distribution.mp4	72.2 MB
11. What is the Binomial Distribution.srt	8.5 KB
12. What is the Binomial Distribution.html	0.2 KB
13. What is the Poisson Distribution.mp4	58.5 MB
13. What is the Poisson Distribution.srt	6.7 KB
13.1 Poisson - Expected Value and Variance.pdf	149.5 KB
13.1 Poisson - Expected Value and Variance_abbyy.gz	43.0 KB
13.1 Poisson - Expected Value and Variance_djvu.txt	2.8 KB
13.1 Poisson - Expected Value and Variance_djvu.xml	54.1 KB
13.1 Poisson - Expected Value and Variance_jp2.zip	507.9 KB
13.1 Poisson - Expected Value and Variance_scandata.xml	0.9 KB
14. What is the Poisson Distribution.html	0.2 KB
15. What is a Continuous Distribution.mp4	88.2 MB
15. What is a Continuous Distribution.srt	8.9 KB
15.1 Solving Integrals.pdf	352.1 KB
15.1 Solving Integrals_abbyy.gz	92.7 KB
15.1 Solving Integrals_djvu.txt	5.3 KB
15.1 Solving Integrals_djvu.xml	106.7 KB
15.1 Solving Integrals_jp2.zip	3.0 MB
15.1 Solving Integrals_scandata.xml	1.5 KB
16. What is a Continuous Distribution.html	0.2 KB
17. What is a Normal Distribution.mp4	45.9 MB
17. What is a Normal Distribution.srt	4.8 KB
17.1 Normal Distribution - Expected Value and Variance.pdf	147.5 KB
17.1 Normal Distribution - Expected Value and Variance_abbyy.gz	78.8 KB
17.1 Normal Distribution - Expected Value and Variance_djvu.txt	4.2 KB
17.1 Normal Distribution - Expected Value and Variance_djvu.xml	111.6 KB
17.1 Normal Distribution - Expected Value and Variance_jp2.zip	1.3 MB
17.1 Normal Distribution - Expected Value and Variance_scandata.xml	2.0 KB
18. What is a Normal Distribution.html	0.2 KB
19. Standardizing a Normal Distribution.mp4	50.2 MB
19. Standardizing a Normal Distribution.srt	5.4 KB
2. What is a probability distribution.html	0.2 KB
20. How do we Standardize a Normal Distribution.html	0.2 KB
21. What is a Student's T Distribution.mp4	23.1 MB
21. What is a Student's T Distribution.srt	2.9 KB
22. What is a Student's T Distribution.html	0.2 KB
23. What is a Chi Squared Distribution.mp4	27.6 MB
23. What is a Chi Squared Distribution.srt	2.8 KB
24. What is a Chi-Squared Distribution.html	0.2 KB
25. What is an Exponential Distribution.mp4	42.1 MB
25. What is an Exponential Distribution.srt	4.2 KB
26. What is an Exponential Distribution.html	0.2 KB
27. What is the Logistic Distribution.mp4	52.4 MB
27. What is the Logistic Distribution.srt	5.2 KB
28. What is a Logistic Distribution.html	0.2 KB
29. Practical Example Distributions.mp4	165.1 MB
29. Practical Example Distributions.srt	20.4 KB
29.1 Customers_Membership.xlsx	9.9 KB
29.2 Daily Views (post).xlsx	20.7 KB
29.3 FIFA19 (post).csv	9.1 MB
29.4 FIFA19.csv	9.1 MB
29.5 Customers_Membership (post).xlsx	16.0 KB
29.6 Daily Views.xlsx	9.8 KB
3. What are the two main types of distributions based on the type of data we have.mp4	96.1 MB
3. What are the two main types of distributions based on the type of data we have.srt	9.7 KB
4. What are the two main types of distributions based on the type of data we have.html	0.2 KB
5. Discrete Distributions and their characteristics..mp4	23.8 MB
5. Discrete Distributions and their characteristics..srt	2.5 KB
6. Discrete Distributions and Their Characteristics..html	0.2 KB
7. What is the Discrete Uniform Distribution.mp4	25.6 MB
7. What is the Discrete Uniform Distribution.srt	2.8 KB
8. What is the Discrete Uniform Distribution.html	0.2 KB
9. What is the Bernoulli Distribution.mp4	35.8 MB
9. What is the Bernoulli Distribution.srt	3.9 KB
/1. Introduction to Probability/
1. What does the course cover.mp4	55.2 MB
1. What does the course cover.srt	5.8 KB
2. What is the probability formula.mp4	90.0 MB
2. What is the probability formula.srt	9.1 KB
2.1 Section 1 Course Notes.pdf	380.0 KB
2.1 Section 1 Course Notes_abbyy.gz	80.2 KB
2.1 Section 1 Course Notes_djvu.txt	5.4 KB
2.1 Section 1 Course Notes_djvu.xml	73.2 KB
2.1 Section 1 Course Notes_jp2.zip	4.1 MB
2.1 Section 1 Course Notes_scandata.xml	2.0 KB
3. What is the probability formula.html	0.2 KB
4. How to compute expected values.mp4	79.4 MB
4. How to compute expected values.srt	6.8 KB
5. How to compute expected values.html	0.2 KB
6. What is a probability frequency distribution.mp4	64.6 MB
6. What is a probability frequency distribution.srt	6.6 KB
7. What is a probability frequency distribution.html	0.2 KB
8. What is a complement.mp4	62.0 MB
8. What is a complement.srt	6.9 KB
9. What is a complement.html	0.2 KB
Showing first 237 files of 474 total files