krishnaik06/6-Months-Data-Science-Roadmap- resource
None observed · 2026-08-28
Health v2 · maintenance only
31/100
- Activity 0
- Release rhythm 35
- Longevity 95
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: 1334
- days_rel: n/a
- days_push: 975
- n_releases_24m: 0
Adoption not part of the score
1892 stars · 562 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated 6-month roadmap for learning data science, linking video playlists covering Python, statistics, EDA, databases, and machine learning. It is a study guide repository rather than software.
Use cases
- learn data science in 6 months
- data science roadmap for beginners
- find playlists for python statistics and machine learning
- plan a self-study path to become a data scientist
- resources for EDA and feature engineering
When to choose
- you want a structured, time-boxed self-study curriculum
- you prefer free video-based learning in English or Hindi
When to avoid
- you need runnable code or a software library
- you want an interactive course with exercises and grading
Facets
learning-resource · maturity maintenance
machine-learning data-science data-science machine-learning tutorials python
1 source
- readme: https://github.com/krishnaik06/6-Months-Data-Science-Roadmap- · fetched 2026-08-28 · f2fd8ee63049
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| krishnaik06/6-Months-Data-Science-Roadmap- | main | 31 |
For agents
markdown · JSON · MCP: product_card(name="krishnaik06/6-Months-Data-Science-Roadmap-")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem