Udemy - Probability for Statistics and Data Science [Giga Course]

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[GigaCourse.com] Udemy - Probability for Statistics and Data Science 1. Introduction to Probability
  • 1. What does the course cover.mp4 (52.7 MB)
  • 1. What does the course cover.srt (5.6 KB)
  • 2. What is the probability formula.mp4 (85.9 MB)
  • 2. What is the probability formula.srt (8.9 KB)
  • 2.1 Section 1 Course Notes.pdf (371.1 KB)
  • 3. What is the probability formula.html (0.2 KB)
  • 4. How to compute expected values.mp4 (75.7 MB)
  • 4. How to compute expected values.srt (6.7 KB)
  • 5. How to compute expected values.html (0.2 KB)
  • 6. What is a probability frequency distribution.mp4 (61.6 MB)
  • 6. What is a probability frequency distribution.srt (6.4 KB)
  • 7. What is a probability frequency distribution.html (0.2 KB)
  • 8. What is a complement.mp4 (59.1 MB)
  • 8. What is a complement.srt (6.7 KB)
  • 9. What is a complement.html (0.2 KB)
2. Combinatorics
  • 1. Why are combinatorics useful.mp4 (16.2 MB)
  • 1. Why are combinatorics useful.srt (1.3 KB)
  • 1.1 Section 2 Course Notes.pdf (226.1 KB)
  • 10. Computing Variations without Repetition.html (0.2 KB)
  • 11. What are combinations and how are they similar to variations.mp4 (57.3 MB)
  • 11. What are combinations and how are they similar to variations.srt (5.6 KB)
  • 11.1 Combinations With Repetition.pdf (223.8 KB)
  • 12. What are combinations and how are they similar to variations.html (0.2 KB)
  • 13. What is symmetry in Combinations.mp4 (40.3 MB)
  • 13. What is symmetry in Combinations.srt (4.3 KB)
  • 13.1 Symmetry Explained.pdf (85.0 KB)
  • 14. What is symmetry in Combinations.html (0.2 KB)
  • 15. How do we combine combinations of events with separate sample spaces.mp4 (33.0 MB)
  • 15. How do we combine combinations of events with separate sample spaces.srt (3.7 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 (41.3 MB)
  • 17. What is the chance of a single ticket winning the lottery.srt (4.1 KB)
  • 18. What is the chance of winning the lottery.html (0.2 KB)
  • 19. A Summary of Combinatorics.mp4 (38.3 MB)
  • 19. A Summary of Combinatorics.srt (3.7 KB)
  • 2. Why are combinatorics useful.html (0.2 KB)
  • 20. Practical Example Combinatorics.mp4 (134.4 MB)
  • 20. Practical Example Combinatorics.srt (14.0 KB)
  • 20.1 Additional Exercises Combinatorics.pdf (106.6 KB)
  • 20.2 Additional Exercises Combinatorics Solutions.pdf (245.7 KB)
  • 3. When do we use Permutations.mp4 (41.5 MB)
  • 3. When do we use Permutations.srt (4.1 KB)
  • 4. When do we use Permutations.html (0.2 KB)
  • 5. Solving Factorials.mp4 (36.1 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 (34.0 MB)
  • 7. Why can we use certain values more than once.srt (3.5 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 (43.1 MB)
  • 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 (45.5 MB)
  • 1. What is a set.srt (5.1 KB)
  • 1.1 Section 3 Course Notes.pdf (386.0 KB)
  • 10. Are all complements mutually exclusive.html (0.2 KB)
  • 11. What does it mean to for two events to be dependent.mp4 (34.8 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 (45.8 MB)
  • 13. What is the difference between P(AB) and P(BA).srt (4.9 KB)
  • 14. What is the difference between P(AB) and P(BA).html (0.2 KB)
  • 15. Conditional Probability in Real-Life.mp4 (34.9 MB)
  • 15. Conditional Probability in Real-Life.srt (3.5 KB)
  • 16. How do we apply the additive rule.mp4 (26.9 MB)
  • 16. How do we apply the additive rule.srt (2.7 KB)
  • 17. How do we apply the additive rule.html (0.2 KB)
  • 18. How do we derive the Multiplication Rule formula.mp4 (49.0 MB)
  • 18. How do we derive the Multiplication Rule formula.srt (4.6 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 (50.0 MB)
  • 20. When do we use Bayes' Theorem in Real Life.srt (7.2 KB)
  • 21. Bayes' Theorem.html (0.2 KB)
  • 22. Practical Example Bayesian Inference.mp4 (145.0 MB)
  • 22. Practical Example Bayesian Inference.srt (19.3 KB)
  • 22.1 Bayesian Homework .pdf (27.3 KB)
  • 22.2 CDS_2017-2018 Hamilton.pdf (845.3 KB)
  • 22.3 Bayesian Homework - Solutions.pdf (30.4 KB)
  • 3. What are the different ways two events can interact with one another.mp4 (47.4 MB)
  • 3. What are the different ways two events can interact with one another.srt (4.4 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 (26.9 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 (57.2 MB)
  • 7. What is the union of sets A and B.srt (5.5 KB)
  • 8. What is the union of sets A and B.html (0.2 KB)
  • 9. Are all complements mutually exclusive.mp4 (25.4 MB)
  • 9. Are all complements mutually exclusive.srt (2.5 KB)
4. Distributions
  • 1. What is a probability distribution.mp4 (73.4 MB)
  • 1. What is a probability distribution.srt (7.5 KB)
  • 1.1 Course Notes - Probability Distributions.pdf (448.1 KB)
  • 10. What is the Bernoulli Distribution.html (0.2 KB)
  • 11. What is the Binomial Distribution.mp4 (68.9 MB)
  • 11. What is the Binomial Distribution.srt (8.3 KB)
  • 12. What is the Binomial Distribution.html (0.2 KB)
  • 13. What is the Poisson Distribution.mp4 (55.8 MB)
  • 13. What is the Poisson Distribution.srt (6.6 KB)
  • 13.1 Poisson - Expected Value and Variance.pdf (146.0 KB)

Description

Udemy - Probability for Statistics and Data Science [Giga Course]

Probability is probably the most fundamental skill you need to acquire if you want to be successful in the world of business. What most people don’t realize is that having a probabilistic mindset is much more important than knowing “absolute truths” You are already here, so actually you know that. And it doesn’t matter if it is pure probability, statistics, business intelligence, finance or data science where you want to apply your probability knowledge



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Udemy - Probability for Statistics and Data Science [Giga Course]

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2.5 GB
seeders:5
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Udemy - Probability for Statistics and Data Science [Giga Course]

Torrent hash: 4D9AF6A693DC127D9DE3F7CD2F7A245FC4D88278