rmcelreath/stat_rethinking_2024 resource

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1819 stars · 214 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Course materials for Richard McElreath's Statistical Rethinking 2024 edition, a 10-week course on Bayesian data analysis with a focus on causal scientific models. The repository hosts lecture links, slides, and a weekly schedule accompanying the Statistical Rethinking book.

Use cases

• learn bayesian data analysis from scratch
• find lectures on causal inference and statistical modeling
• study statistical rethinking course materials
• self-study bayesian statistics with problem sets
• learn R for bayesian modeling

When to choose

• you want a structured, video-based introduction to Bayesian statistics
• you prefer conceptual, causal-model-first teaching
• you are a biologist or social scientist analyzing imperfect data

When to avoid

• you need maintained software or code libraries
• you want frequent-frequentist or purely mathematical statistics training
• you need a course with open enrollment (registration is capped)

Facets

learning-resource · maturity maintenance

data-science developer-tools data-science education tutorials cross-platform bayesian-statistics course-materials r causal-inference lectures statistical-rethinking

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markdown · JSON · MCP: product_card(name="rmcelreath/stat_rethinking_2024")