Awesome Data Analysis collects more than 500 resources for data analysis and data science.
Open source
24 alternativesAwesome DataScience
This Awesome DataScience repository collects learning material and resources about data science.
About Awesome DataScience
Awesome DataScience is an open-source GitHub repository that collects learning material and resources about data science. Its README describes it as a starting path for studying the field, organized as a table of contents that moves from introductory questions to courses, tools, and community resources.
The repository covers several areas: introductory explanations of data science, training resources such as tutorials, free courses, MOOCs, and intensive programs, and a section on algorithms, machine learning and deep learning packages, and visualization tools. It also lists books, newsletters, podcasts, videos, online communities, competitions, and datasets. Contributions are invited through a CONTRIBUTING.md file. Pricing is not stated for the listed resources, and some book links are noted as affiliated.
Key features
- Table of contents grouping resources from introductory topics to advanced tools
- Sections listing free courses, MOOCs, intensive programs, and colleges
- Toolbox section covering algorithms, machine learning, and visualization tools
- Dedicated entries for PyTorch, TensorFlow, and Keras ecosystems
- Lists of books, newsletters, podcasts, YouTube channels, and presentations
- Sections for data science competitions and datasets
Best for: Learners who want a curated starting point for studying data science and the tools used in it.
Good for
- Open source, with contributions invited through a CONTRIBUTING.md file
- Resources are organized by topic in a clear table of contents
- Covers both learning material and practical tools such as deep learning frameworks
Watch out for
- Includes affiliated book deal links, as noted in its table of contents
Awesome DataScience at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Awesome DataScience alternatives
Tools and sites you could use instead, ranked by how closely they match.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
Popular in Learn to Code
Well-known listings from the same topic.
Codelabscodelabs.developers.google.comScratchscratch.mit.eduTelegram Bot APIcore.telegram.org/botsStudent Developer Packeducation.github.com/packHacksplaininghacksplaining.comQB64SourceCodeqb64tutorial.com
Awesome DataScience FAQ
How can I contribute to the list?
Contributions are welcome. The repository directs contributors to a CONTRIBUTING.md file.
Does the list include free courses?
Yes. Its table of contents includes sections for free courses, massively open online courses, intensive programs, and colleges.
Are datasets and competitions included?
The table of contents lists sections for data science competitions and datasets.
Is something wrong or out of date?
Tell us and an editor will check it.
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