[Last updated in Jan 2021]
A Quick Introduction to Probability Theory. This tutorial aims to refresh all most important concepts in probability theory with simple examples. Probability theory is the key foundation of statistics, econometrics and data science. Make you understand all the details in the example, use these examples as your references when encounter new problems.
Since this is not an academic course, there is no sophisticated derivation, only practical examples, you need don't any prerequiste except freshman level mathematics.
Lecture 1 - Joint and Conditional Probability
Lecture 2 - Bayes' Theorem
Lecture 3 - PMF, PDF and CDF
Lecture 4 - Important Distributions
Lecture 5 - Joint Distributions