rmcelreath/stat_rethinking_2022 resource

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4106 stars · 432 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Course materials for Richard McElreath's Statistical Rethinking 2022 edition, a Bayesian data analysis course. It includes lecture videos, slides, reading schedules, and problem sets teaching scientific modeling and Bayesian inference.

Use cases

• learn bayesian data analysis from scratch
• study statistical rethinking course lectures
• find problem sets for bayesian statistics practice
• learn causal inference and scientific modeling
• self-study mcelreath statistical rethinking book
• watch lectures on bayesian regression and multilevel models

When to choose

• you want a structured, free course on Bayesian statistics with video lectures and exercises
• you are a biologist or social scientist learning data analysis with causal models
• you are following the Statistical Rethinking book and want companion materials

When to avoid

• you need maintained software or a statistical library rather than course content
• you want frequentist statistics or non-Bayesian methods
• you need a license-clear codebase for redistribution, since the repo has no license

Facets

learning-resource · maturity maintenance

data-science machine-learning data-science education tutorials python cross-platform bayesian-statistics course-materials r statistical-rethinking causal-inference lectures

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