avehtari/BDA_course_Aalto resource
Bayesian Data Analysis course at Aalto observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2917
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
2273 stars · 566 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Complete course materials for the Bayesian Data Analysis course (CS-E5710) at Aalto University, taught by Aki Vehtari and based on the BDA3 textbook by Gelman et al. The repository contains lecture notes, slides, exercises, videos, and R/Python demos, all licensed for reuse in other courses.
Use cases
- learn bayesian data analysis from a university course
- self-study bayesian inference and MCMC methods
- find exercises and demos for bayesian statistics
- reuse bayesian course material for teaching my own class
- learn computational bayesian methods with r and python
- supplement the BDA3 book with videos and assignments
- understand bayesian workflow for data analysis
When to choose
- you want structured, university-grade material for learning Bayesian data analysis alongside the BDA3 textbook
- you are an instructor looking for freely reusable course content, slides, and exercises
- you prefer learning computational aspects of Bayesian statistics through hands-on R and Python demos
- you want up-to-date material that is refreshed each course term
When to avoid
- you need a software library or tool for performing Bayesian inference - use Stan, PyMC, or similar instead
- you want a self-contained textbook rather than supplementary course material
- you need commercial-use rights - the text and videos are CC-BY-NC licensed
- you are looking for frequentist or general statistics education rather than Bayesian methods
Facets
learning-resource · maturity active
data-science math data-science education mathematics machine-learning tutorials cross-platform bayesian-statistics bayesian-inference course-material statistics mcmc stan lecture-notes r-demos python-demos tex
2 sources
- readme: https://github.com/avehtari/BDA_course_Aalto · fetched 2026-08-28 · d1ed467b9385
- homepage: https://avehtari.github.io/BDA_course_Aalto/ · fetched 2026-08-29 · 92a8cdc126d1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| avehtari/BDA_course_Aalto | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="avehtari/BDA_course_Aalto")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem