BiteSize Stats: Probability Rules and Bayes Theorem 

О курсе

BiteSize Statistics for Absolute Beginners: Probability Rules and Bayes' Theorem is the second course in the BiteSize Stats for Absolute Beginners specialization. It builds the probabilistic reasoning skills that underlie every later course on distributions, sampling, and hypothesis testing: how to compute probabilities from first principles, combine them correctly with the addition and multiplication rules, condition on new information, count outcomes precisely, and update beliefs with Bayes' Theorem. Across five modules, learners progress from the axioms of probability, event types, and Venn diagrams, through the addition and multiplication rules and probability trees, to conditional probability and contingency tables, permutations and combinations, and finally the Law of Total Probability and Bayes' Theorem — including its use in medical testing and fraud detection. Every core lesson pairs a short video walkthrough and reading with a hands-on interactive notebook built around a realistic business scenario, and each module closes with a graded applied lab using a real dataset.

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Di Wu

Instructor