Course Curriculum
| The Basics of Probability | |||
| 1.1 Complements | 00:00:00 | ||
| 1.2 Computing Expected Values | 00:00:00 | ||
| 1.3 The Probability Frequency Distribution | 00:00:00 | ||
| 1.4 What is the probability formula | 00:00:00 | ||
| 2 Combinatorics | |||
| 2.1 A Summary of Combinatorics | 00:00:00 | ||
| 2.2 Combinations with Separate Sample Spaces | 00:00:00 | ||
| 2.3 Combinatorics Practical Example | 00:00:00 | ||
| 2.4 Computing Combinations | 00:00:00 | ||
| 2.5 Computing Permutations | 00:00:00 | ||
| 2.6 Computing Variations with Repetition | 00:00:00 | ||
| 2.7 Computing Variations without Repetition | 00:00:00 | ||
| 2.8 Fundamentals of Combinatorics | 00:00:00 | ||
| 2.9 Solving Factorials | 00:00:00 | ||
| 2.10 Symmetry of Combinations | 00:00:00 | ||
| 2.11Winning the Lottery | 00:00:00 | ||
| Bayesian Inference | |||
| 3.1 Additive Law | 00:00:00 | ||
| 3.2 Bayes Rule | 00:00:00 | ||
| 3.3 Bayesian Practical Example | 00:00:00 | ||
| 3.4 Conditional Probability | 00:00:00 | ||
| 3.5 Dependent and Independent Events | 00:00:00 | ||
| 3.6 Law of Total Probability | 00:00:00 | ||
| 3.7 Multiplication Rule | 00:00:00 | ||
| 3.8 Mutually Exclusive Sets | 00:00:00 | ||
| 3.9 Sets and Events | 00:00:00 | ||
| 3.10 The Different Ways Events Can Interact | 00:00:00 | ||
| 3.11 The Intersection of Two Sets | 00:00:00 | ||
| 3.12 The Union of Two Sets | 00:00:00 | ||
| Probability Distributions | |||
| 4.1 An overview of distributions | 00:00:00 | ||
| 4.2 Bernoulli Distributions | 00:00:00 | ||
| 4.3 Binomial Distributions | 00:00:00 | ||
| 4.4 Chi Squared Distributions | 00:00:00 | ||
| 4.5 Continuous Distributions | 00:00:00 | ||
| 4.6 Discrete Distributions | 00:00:00 | ||
| 4.7 Discrete Uniform Distributions | 00:00:00 | ||
| 4.8 Exponential Distributions | 00:00:00 | ||
| 4.9 Logistic Distributions | 00:00:00 | ||
| 4.10 Normal Distributions | 00:00:00 | ||
| 4.11 Poisson Distributions | 00:00:00 | ||
| 4.12 Probability Distributions A Practical Example | 00:00:00 | ||
| 4.13 Standardizing Normal Distributions | 00:00:00 | ||
| 4.14 Students’ T Distributions | 00:00:00 | ||
| 4.15 Types of Distributions | 00:00:00 | ||
| Probability In Other Fields | |||
| 5.1 Probability in Data Science | 00:00:00 | ||
| 5.2 Probability in Finance | 00:00:00 | ||
| 5.3 Probability in Statistics | 00:00:00 | ||
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