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Open source
24 alternativesData Science For Beginners
github.com/microsoft/Data-Science-For-Beginners
Science, Math & Technology
Open-source projectOpen source
Microsoft’s Data Science for Beginners is a ten-week curriculum with 20 lessons for learning data science.
About Data Science For Beginners
Data Science for Beginners is an open-source GitHub repository from Microsoft's Azure Cloud Advocates containing a 10-week, 20-lesson data science curriculum. Each lesson pairs written instructions with a pre-lesson quiz, a post-lesson quiz, a solution, and an assignment, following a project-based approach in which learners build as they go. Lesson modules cover introduction, working with data, data visualization, the data science lifecycle, data science in the cloud, and data science in the wild.
The material is written in English and offered in more than 50 translations maintained through a GitHub Action. Because those translations substantially increase the repository's download size, the README provides sparse checkout commands for cloning the course without them. The repository also includes teacher-oriented material, contributing and security files, and references to Microsoft student resources and a community Discord series on using GitHub Copilot for data science. No pricing information is stated.
Key features
- 10-week curriculum with 20 lessons and project-based exercises
- Pre-lesson and post-lesson quizzes plus an assignment per lesson
- Written instructions and a solution provided for each lesson
- Translations in over 50 languages, maintained by a GitHub Action
- Sparse checkout commands to clone without the translations folder
- Teacher guidance file and links to Microsoft student resources
Best for: Beginner self-learners and instructors who want a structured, project-based data science curriculum they can work through over about ten weeks.
Good for
- Open-source curriculum published on GitHub under Microsoft's repository
- Each lesson includes quizzes, written instructions, a solution and an assignment
- Course content is available in more than 50 translated languages
Watch out for
- Translations make the repository significantly larger to clone unless sparse checkout is used
- Lesson material is delivered as a GitHub repository rather than a hosted course platform
- Pricing for any related offerings is not stated
Data Science For Beginners at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Data Science For Beginners alternatives
Tools and sites you could use instead, ranked by how closely they match.
JavaScript for Data Science presents educational material about data science topics.
This course teaches Python for data analysis and visualization through sample code and videos.
Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.
Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist.
FlowingData publishes articles, projects, and learning resources about data visualization and statistics.
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Data Science For Beginners FAQ
How long does the curriculum take?
It is designed as a 10-week curriculum made up of 20 lessons.
Is the course available in languages other than English?
Yes. More than 50 language translations are supported through a GitHub Action so they stay up to date.
Can I avoid downloading all the translations?
Yes. The README gives sparse checkout commands for Bash, macOS, Linux and Windows CMD that clone the course without the translations and translated images folders for a faster download.
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