[Tutorialsplanet.NET] Udemy - Probability for Statistics and Data Science

File Name

Size

1. Introduction to Probability/1. What does the course cover.mp4

53 MB

1. Introduction to Probability/1. What does the course cover.srt

5.6 kB

1. Introduction to Probability/2. What is the probability formula.mp4

86 MB

1. Introduction to Probability/2. What is the probability formula.srt

8.9 kB

1. Introduction to Probability/2.1 Section 1 Course Notes.pdf

371 kB

1. Introduction to Probability/3. What is the probability formula.html

154 B

1. Introduction to Probability/4. How to compute expected values.mp4

76 MB

1. Introduction to Probability/4. How to compute expected values.srt

6.7 kB

1. Introduction to Probability/5. How to compute expected values.html

154 B

1. Introduction to Probability/6. What is a probability frequency distribution.mp4

62 MB

1. Introduction to Probability/6. What is a probability frequency distribution.srt

6.4 kB

1. Introduction to Probability/7. What is a probability frequency distribution.html

154 B

1. Introduction to Probability/8. What is a complement.mp4

59 MB

1. Introduction to Probability/8. What is a complement.srt

6.7 kB

1. Introduction to Probability/9. What is a complement.html

154 B

2. Combinatorics/1. Why are combinatorics useful.mp4

16 MB

2. Combinatorics/1. Why are combinatorics useful.srt

1.3 kB

2. Combinatorics/1.1 Section 2 Course Notes.pdf

226 kB

2. Combinatorics/10. Computing Variations without Repetition.html

154 B

2. Combinatorics/11. What are combinations and how are they similar to variations.mp4

57 MB

2. Combinatorics/11. What are combinations and how are they similar to variations.srt

5.6 kB

2. Combinatorics/11.1 Combinations With Repetition.pdf

224 kB

2. Combinatorics/12. What are combinations and how are they similar to variations.html

154 B

2. Combinatorics/13. What is symmetry in Combinations.mp4

40 MB

2. Combinatorics/13. What is symmetry in Combinations.srt

4.3 kB

2. Combinatorics/13.1 Symmetry Explained.pdf

85 kB

2. Combinatorics/14. What is symmetry in Combinations.html

154 B

2. Combinatorics/15. How do we combine combinations of events with separate sample spaces.mp4

33 MB

2. Combinatorics/15. How do we combine combinations of events with separate sample spaces.srt

3.7 kB

2. Combinatorics/16. How do we combine combinations of events with separate sample spaces.html

154 B

2. Combinatorics/17. What is the chance of a single ticket winning the lottery.mp4

41 MB

2. Combinatorics/17. What is the chance of a single ticket winning the lottery.srt

4.1 kB

2. Combinatorics/18. What is the chance of winning the lottery.html

154 B

2. Combinatorics/19. A Summary of Combinatorics.mp4

38 MB

2. Combinatorics/19. A Summary of Combinatorics.srt

3.7 kB

2. Combinatorics/2. Why are combinatorics useful.html

154 B

2. Combinatorics/20. Practical Example Combinatorics.mp4

134 MB

2. Combinatorics/20. Practical Example Combinatorics.srt

14 kB

2. Combinatorics/20.1 Additional Exercises Combinatorics.pdf

107 kB

2. Combinatorics/20.2 Additional Exercises Combinatorics Solutions.pdf

246 kB

2. Combinatorics/3. When do we use Permutations.mp4

42 MB

2. Combinatorics/3. When do we use Permutations.srt

4.1 kB

2. Combinatorics/4. When do we use Permutations.html

154 B

2. Combinatorics/5. Solving Factorials.mp4

36 MB

2. Combinatorics/5. Solving Factorials.srt

3.3 kB

2. Combinatorics/6. Solving Factorials.html

154 B

2. Combinatorics/7. Why can we use certain values more than once.mp4

34 MB

2. Combinatorics/7. Why can we use certain values more than once.srt

3.5 kB

2. Combinatorics/8. Why can we use certain values more than once.html

154 B

2. Combinatorics/9. What if we couldn't use certain values more than once.mp4

43 MB

2. Combinatorics/9. What if we couldn't use certain values more than once.srt

4.5 kB

3. Bayesian Inference/1. What is a set.mp4

46 MB

3. Bayesian Inference/1. What is a set.srt

5.1 kB

3. Bayesian Inference/1.1 Section 3 Course Notes.pdf

386 kB

3. Bayesian Inference/10. Are all complements mutually exclusive.html

154 B

3. Bayesian Inference/11. What does it mean to for two events to be dependent.mp4

35 MB

3. Bayesian Inference/11. What does it mean to for two events to be dependent.srt

3.5 kB

3. Bayesian Inference/12. What does it mean to for two events to be dependent.html

154 B

3. Bayesian Inference/13. What is the difference between P(AB) and P(BA).mp4

46 MB

3. Bayesian Inference/13. What is the difference between P(AB) and P(BA).srt

4.9 kB

3. Bayesian Inference/14. What is the difference between P(AB) and P(BA).html

154 B

3. Bayesian Inference/15. Conditional Probability in Real-Life.mp4

35 MB

3. Bayesian Inference/15. Conditional Probability in Real-Life.srt

3.5 kB

3. Bayesian Inference/16. How do we apply the additive rule.mp4

27 MB

3. Bayesian Inference/16. How do we apply the additive rule.srt

2.7 kB

3. Bayesian Inference/17. How do we apply the additive rule.html

154 B

3. Bayesian Inference/18. How do we derive the Multiplication Rule formula.mp4

49 MB

3. Bayesian Inference/18. How do we derive the Multiplication Rule formula.srt

4.6 kB

3. Bayesian Inference/19. How do we interpret the Multiplication Rule Formula.html

154 B

3. Bayesian Inference/2. What is a set.html

154 B

3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4

50 MB

3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.srt

7.2 kB

3. Bayesian Inference/21. Bayes' Theorem.html

154 B

3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4

145 MB

3. Bayesian Inference/22. Practical Example Bayesian Inference.srt

19 kB

3. Bayesian Inference/22.1 CDS_2017-2018 Hamilton.pdf

845 kB

3. Bayesian Inference/22.2 Bayesian Homework .pdf

27 kB

3. Bayesian Inference/22.3 Bayesian Homework - Solutions.pdf

30 kB

3. Bayesian Inference/3. What are the different ways two events can interact with one another.mp4

47 MB

3. Bayesian Inference/3. What are the different ways two events can interact with one another.srt

4.4 kB

3. Bayesian Inference/4. What are the different ways two events can interact with one another.html

154 B

3. Bayesian Inference/5. What is the intersection of sets A and B.mp4

27 MB

3. Bayesian Inference/5. What is the intersection of sets A and B.srt

2.5 kB

3. Bayesian Inference/6. What is the intersection of sets A and B.html

154 B

3. Bayesian Inference/7. What is the union of sets A and B.mp4

57 MB

3. Bayesian Inference/7. What is the union of sets A and B.srt

5.5 kB

3. Bayesian Inference/8. What is the union of sets A and B.html

154 B

3. Bayesian Inference/9. Are all complements mutually exclusive.mp4

25 MB

3. Bayesian Inference/9. Are all complements mutually exclusive.srt

2.5 kB

4. Distributions/1. What is a probability distribution.mp4

73 MB

4. Distributions/1. What is a probability distribution.srt

7.5 kB

4. Distributions/1.1 Course Notes - Probability Distributions.pdf

448 kB

4. Distributions/10. What is the Bernoulli Distribution.html

154 B

4. Distributions/11. What is the Binomial Distribution.mp4

69 MB

4. Distributions/11. What is the Binomial Distribution.srt

8.3 kB

4. Distributions/12. What is the Binomial Distribution.html

154 B

4. Distributions/13. What is the Poisson Distribution.mp4

56 MB

4. Distributions/13. What is the Poisson Distribution.srt

6.6 kB

4. Distributions/13.1 Poisson - Expected Value and Variance.pdf

146 kB

4. Distributions/14. What is the Poisson Distribution.html

154 B

4. Distributions/15. What is a Continuous Distribution.mp4

84 MB

4. Distributions/15. What is a Continuous Distribution.srt

8.7 kB

4. Distributions/15.1 Solving Integrals.pdf

344 kB

4. Distributions/16. What is a Continuous Distribution.html

154 B

4. Distributions/17. What is a Normal Distribution.mp4

44 MB

4. Distributions/17. What is a Normal Distribution.srt

4.7 kB

4. Distributions/17.1 Normal Distribution - Expected Value and Variance.pdf

144 kB

4. Distributions/18. What is a Normal Distribution.html

154 B

4. Distributions/19. Standardizing a Normal Distribution.mp4

48 MB

4. Distributions/19. Standardizing a Normal Distribution.srt

5.3 kB

4. Distributions/2. What is a probability distribution.html

154 B

4. Distributions/20. How do we Standardize a Normal Distribution.html

154 B

4. Distributions/21. What is a Student's T Distribution.mp4

22 MB

4. Distributions/21. What is a Student's T Distribution.srt

2.8 kB

4. Distributions/22. What is a Student's T Distribution.html

154 B

4. Distributions/23. What is a Chi Squared Distribution.mp4

26 MB

4. Distributions/23. What is a Chi Squared Distribution.srt

2.8 kB

4. Distributions/24. What is a Chi-Squared Distribution.html

154 B

4. Distributions/25. What is an Exponential Distribution.mp4

40 MB

4. Distributions/25. What is an Exponential Distribution.srt

4.1 kB

4. Distributions/26. What is an Exponential Distribution.html

154 B

4. Distributions/27. What is the Logistic Distribution.mp4

50 MB

4. Distributions/27. What is the Logistic Distribution.srt

5.1 kB

4. Distributions/28. What is a Logistic Distribution.html

154 B

4. Distributions/29. Practical Example Distributions.mp4

158 MB

4. Distributions/29. Practical Example Distributions.srt

20 kB

4. Distributions/29.1 Customers_Membership.xlsx

9.7 kB

4. Distributions/29.2 Daily Views (post).xlsx

20 kB

4. Distributions/29.3 FIFA19 (post).csv

8.7 MB

4. Distributions/29.4 FIFA19.csv

8.7 MB

4. Distributions/29.5 Customers_Membership (post).xlsx

16 kB

4. Distributions/29.6 Daily Views.xlsx

9.5 kB

4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4

92 MB

4. Distributions/3. What are the two main types of distributions based on the type of data we have.srt

9.5 kB

4. Distributions/4. What are the two main types of distributions based on the type of data we have.html

154 B

4. Distributions/5. Discrete Distributions and their characteristics..mp4

23 MB

4. Distributions/5. Discrete Distributions and their characteristics..srt

2.5 kB

4. Distributions/6. Discrete Distributions and Their Characteristics..html

154 B

4. Distributions/7. What is the Discrete Uniform Distribution.mp4

24 MB

4. Distributions/7. What is the Discrete Uniform Distribution.srt

2.7 kB

4. Distributions/8. What is the Discrete Uniform Distribution.html

154 B

4. Distributions/9. What is the Bernoulli Distribution.mp4

34 MB

4. Distributions/9. What is the Bernoulli Distribution.srt

3.9 kB

5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4

99 MB

5. Tie-ins to Other Fields/1. Tie-ins to Finance.srt

9.8 kB

5. Tie-ins to Other Fields/1.1 Probability in Finance Homework.pdf

111 kB

5. Tie-ins to Other Fields/1.2 Probability in Finance Solutions.pdf

184 kB

5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4

77 MB

5. Tie-ins to Other Fields/2. Tie-ins to Statistics.srt

8.4 kB

5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4

64 MB

5. Tie-ins to Other Fields/3. Tie-ins to Data Science.srt

6.6 kB

[Tutorialsplanet.NET].url

128 B