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Introduction

Course Overview

1. General probability concepts

Must-know probability concepts
Total Probability Theorem
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2. Discrete random variables

Bernoulli distribution
Binomial distribution
Geometric distribution
Poisson distribution
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3. Continuous random variables

Uniform distribution
Exponential distribution
Normal distribution
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4. Maximum Likelihood Estimation

Maximum Likelihood Estimation
Maximum Likelihood Estimation 2
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5. Joint, Independence and Conditional distributions

Independence and Conditioning
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End of course survey

End of course survey

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By Robert Lanzafame, Miguel Mendoza Lugo and Patricia Mares Nasarre

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