datasciencemasters/go resource
The Open Source Data Science Masters observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 4767
- days_rel: n/a
- days_push: 1004
- n_releases_24m: 0
Adoption not part of the score
26268 stars · 6107 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
The Open Source Data Science Masters is a curated curriculum of free resources for self-teaching data science, originally created in 2013. It aggregates courses, books, and materials covering data science fundamentals, machine learning, and the ethics of data-driven work.
Use cases
- learn data science for free
- self-study curriculum for becoming a data scientist
- find courses and books on machine learning
- structured alternative to a data science degree
- learn about ethics and societal impacts of data science
When to choose
- you want a free, curated path to learn data science on your own
- you prefer self-directed learning over paid bootcamps
- you want historical context and ethics woven into your data science education
When to avoid
- you need up-to-date course links and current tooling, as the curriculum dates to 2013
- you want interactive exercises or mentorship rather than a reading list
- you need a credential or certificate
Facets
learning-resource · maturity maintenance
documentation data-science tutorials education cross-platform curriculum self-study open-education data-science-masters
1 source
- readme: https://github.com/datasciencemasters/go · fetched 2026-08-28 · d2b241ae970e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| datasciencemasters/go | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="datasciencemasters/go")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem