# chaconnewu/free-data-science-books

Free resources for learning data science

Repository: https://github.com/chaconnewu/free-data-science-books
Canonical: https://ross.abutalabs.com/products/free-data-science-books
License: Unlicense
License Family: permissive
Last push: 2024-06-05T11:27:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4663, "days_push": 819, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3024, forks 1095 (observed 2026-08-28T04:07:38.604592+00:00)

## What it is
A curated list of free learning resources for data science and big data, including books, wikibooks, and MOOCs, each tagged with an audience level (beginner, intermediate, veteran). It is inspired by the Free Programming Books list and maintained via community pull requests.

## Use cases
- find free data science books
- learn big data concepts for free
- find beginner-friendly machine learning reading material
- locate MOOCs about data science
- find free statistics and data mining resources
- get a curated data science reading list by skill level

## When to choose
- you want free, curated learning materials for data science or big data
- you need resources sorted by difficulty level
- you want links to MOOCs and online books in one place

## When to avoid
- you need interactive courses or hands-on exercises rather than reading lists
- you need up-to-date, professionally maintained curriculum
- you want a single structured textbook rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: data-science, tutorials, machine-learning, big-data, data-visualization
- platform: cross-platform
- tags: free-books, curated-list, awesome-list, moocs, learning-resources

## Member repositories
- chaconnewu/free-data-science-books (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:38.604592+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:29:54.825971+00:00, confidence not recorded.
  - readme: https://github.com/chaconnewu/free-data-science-books (fetched 2026-08-28T04:07:38.604592+00:00, sha 6aaf72d9bd4b)
- Data as of 2026-08-30T08:39:29.467469+00:00.