microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #3 among Analytics repositories tracked this week, and #1 over the last 30 days; #228 of 2,841 repositories GStars tracks this week (top 8%).
The project lists 117 contributors on GitHub.
Use Cases & Benefits
- Provides a 10-week, 20-lesson project-based curriculum to teach foundational data science concepts using Python and Jupyter Notebooks.
- Offers beginner-friendly, structured lessons with quizzes, projects, and solutions to facilitate hands-on learning and skill retention.
- Use for students new to data science seeking a guided, comprehensive introduction with practical coding exercises and quizzes.
- Use for educators looking for a ready-to-use curriculum with teaching resources and classroom guidance for data science instruction.
- Use for self-learners wanting to build data analysis, visualization, and cloud-based data science skills through progressive lessons.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
Hearty thanks to our authors: Jasmine Greenaway, Dmitry Soshnikov, Nitya Narasimhan, Jalen McGee, Jen Looper, Maud Levy, Tiffany Souterre, Christopher Harrison.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
7.6K+253
Open issues
20+15
Compared with peers in Analytics
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 4, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| hicccc77/WeFlow | 15.0K | +270 | 75 | — |
| mrifqidaffaaditya/WA-AKG | 510 | +127 | 31 | 18 days ago |
| netdata/netdata | 80.8K | +98 | 75 | 7 days ago |
| Bennettxai/FounderOS | 1.1K | +80 | 75 | — |
| microsoft/Data-Science-For-Beginners | 37.5K | +0 | 45 | — |
| bitnami/charts | 10.4K | +0 | 75 | — |
| Category median | 10.4K | +98 | 75 | — |
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