# MrMimic/data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

Repository: https://github.com/MrMimic/data-scientist-roadmap
Canonical: https://ross.abutalabs.com/products/data-scientist-roadmap
Homepage: http://nirvacana.com/thoughts/becoming-a-data-scientist/
Language: Jupyter Notebook
License: GPL-3.0
License Family: copyleft
Last push: 2025-02-11T08:26:32+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 6, release rhythm 35, longevity 100
- inputs: {"age_days": 3376, "days_push": 568, "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 7386, forks 1907 (observed 2026-08-28T04:09:59.590739+00:00)

## What it is
A collection of Jupyter Notebook tutorials organized around the famous 'Road to Data Scientist' metro-map curriculum. It guides learners progressively through statistics, programming, machine learning, NLP, visualization, and big data topics.

## Use cases
- learn data science from scratch
- find a structured data science curriculum
- practice machine learning with jupyter notebooks
- follow a roadmap to become a data scientist
- review statistics and NLP fundamentals
- get hands-on tutorials for data munging and visualization

## When to choose
- you want a free, structured self-study path into data science
- you prefer learning through runnable Jupyter Notebook examples
- you want topic coverage mapped to a well-known curriculum

## When to avoid
- you need production-ready data science tooling or libraries
- you want a polished course with videos and assessments
- you need up-to-date, professionally reviewed material since much content comes from Wikipedia or LLMs

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, machine-learning, nlp, data-visualization, etl
- domain: data-science, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: roadmap, jupyter-notebooks, curriculum, self-learning, poetry

## Member repositories
- MrMimic/data-scientist-roadmap (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:59.590739+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 2026-08-29T17:38:06.122357+00:00, confidence not recorded.
  - readme: https://github.com/MrMimic/data-scientist-roadmap (fetched 2026-08-28T04:09:59.590739+00:00, sha 8f9f2fc5801a)
  - homepage: http://nirvacana.com/thoughts/becoming-a-data-scientist/ (fetched 2026-08-29T08:33:53.878741+00:00, sha a7b88b9d4a91)
  - site_page: https://nirvacana.com/thoughts/swamichandra (fetched 2026-08-29T08:33:53.888957+00:00, sha 2ba8ca31bf64)
- Data as of 2026-08-30T08:39:29.467469+00:00.