# microsoft/Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Repository: https://github.com/microsoft/Data-Science-For-Beginners
Canonical: https://ross.abutalabs.com/products/data-science-for-beginners
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: data-science, python, data-visualization, data-analysis, pandas, microsoft-for-beginners
Last push: 2026-08-20T01:11:34+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2009, "days_push": 14, "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 36735, forks 7437 (observed 2026-08-28T04:12:01.246525+00:00)

## What it is
A free 10-week, 20-lesson open-source curriculum from Microsoft teaching data science fundamentals through project-based learning. Each lesson includes quizzes, written instructions, solutions, and assignments using Python and Jupyter notebooks.

## Use cases
- learn data science from scratch
- find a structured data science curriculum for beginners
- teach an introductory data science course
- practice data analysis with pandas and Python
- learn data visualization basics
- get hands-on data science assignments with solutions

## When to choose
- you are a beginner wanting a free, structured, project-based path into data science
- you are an educator looking for ready-made lessons, quizzes, and assignments
- you prefer learning with Jupyter notebooks and Python

## When to avoid
- you need advanced or specialized data science topics like deep learning or MLOps
- you want a tool or library rather than educational content
- you need certification or instructor-led training

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-science, data-visualization, nlp
- domain: data-science, education, tutorials
- platform: python, cross-platform
- tags: curriculum, beginners, jupyter-notebooks, pandas, microsoft, project-based-learning

## Member repositories
- microsoft/Data-Science-For-Beginners (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:01.246525+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 2026-08-29T16:25:51.273053+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/Data-Science-For-Beginners (fetched 2026-08-28T04:12:01.246525+00:00, sha 8878c1b454b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.