academic/awesome-datascience resource
:memo: An awesome Data Science repository to learn and apply for real world problems. observed · 2026-08-28
Health v2 · maintenance only
98/100
- Activity 99
- Release rhythm 97
- Longevity 100
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: 25
- age_days: 4442
- days_rel: 23
- days_push: 7
- n_releases_24m: 14
Adoption not part of the score
29874 stars · 6614 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated awesome-list repository of data science learning resources, covering courses, tutorials, algorithms, tools, books, podcasts, and communities. It serves as a roadmap for learning data science and applying it to real-world problems.
Use cases
- find free data science courses and moocs
- learn data science from scratch with a structured path
- discover machine learning libraries and tools
- find data science books podcasts and communities
- explore deep learning frameworks and ecosystems
- prepare for a data science career
When to choose
- you want a curated starting point for learning data science
- you need links to courses, tools, and literature in one place
When to avoid
- you need runnable software or a library
- you want interactive lessons rather than a link collection
Facets
learning-resource · maturity active
data-science machine-learning data-visualization data-science machine-learning tutorials awesome-lists cross-platform awesome-list curated-resources learning-path moocs deep-learning
1 source
- readme: https://github.com/academic/awesome-datascience · fetched 2026-08-28 · 0611a92feb49
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| academic/awesome-datascience | main | 98 |
For agents
markdown · JSON · MCP: product_card(name="academic/awesome-datascience")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem