# ossu/data-science

📊 Path to a free self-taught education in Data Science!

Repository: https://github.com/ossu/data-science
Canonical: https://ross.abutalabs.com/products/data-science
Homepage: https://ds.ossu.dev
License: NOASSERTION
License Family: other
Last push: 2025-05-13T02:19:48+00:00

## Health v2 (maintenance only)
Score: 42/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 21, release rhythm 35, longevity 100
- inputs: {"age_days": 3727, "days_push": 478, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 21918, forks 4236 (observed 2026-08-28T04:11:32.212088+00:00)

## What it is
A curated, free curriculum for a self-taught undergraduate-level Data Science education, built from MOOC courses from top universities. It provides an ordered course path, prerequisites, and progress-tracking guidance over roughly two years of study.

## Use cases
- learn data science for free
- self-taught data science curriculum
- find the best MOOCs for data science
- plan a data science study path
- become a data scientist without a degree
- structured online data science courses

## When to choose
- you want a free, structured, university-quality data science education
- you prefer MOOC-style self-paced learning
- you need guidance on course order and prerequisites

## When to avoid
- you need interactive course content itself - this is a course list, not a platform
- you want a quick bootcamp-style crash course
- you need accredited certification

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: data-science, education, tutorials
- platform: -
- tags: curriculum, mooc, self-taught, free-education, awesome-list, web-server

## Member repositories
- ossu/data-science (main) score 42

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:32.212088+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 2026-08-29T16:57:45.622999+00:00, confidence not recorded.
  - readme: https://github.com/ossu/data-science (fetched 2026-08-28T04:11:32.212088+00:00, sha 4ef0dfd38b75)
  - homepage: https://ds.ossu.dev (fetched 2026-08-29T07:56:22.980026+00:00, sha 845b71d24de9)
- Data as of 2026-08-30T08:39:29.467469+00:00.