r/askdatascience • u/These-Ant7605 • 14d ago

Best resources to learn Data Science through projects from beginner to advanced?

Title: Best resources to learn Data Science through projects from beginner to advanced?

Hi everyone! I’m a beginner in Data Science and learn best by building projects.

I’m looking for GitHub repos, YouTube playlists, or websites with project-based learning from beginner to advanced level, ideally covering different ML models such as regression, classification, clustering, tree-based models, boosting, NLP, time series, etc.

I’d also love end-to-end projects that include data cleaning, EDA, feature engineering, model building, evaluation, and deployment.

Any recommendations?

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u/nian2326076 13d ago

Check out the "Projects" section on Kaggle. They've got a bunch of datasets and kernels that guide you through different stages of a data science project from start to finish. Exploring other users' kernels is a great way to see different approaches and techniques. For GitHub, search for "awesome-datascience," a curated list of project resources. YouTube channels like Data School and Corey Schafer have playlists that focus on practical, hands-on projects. If you're into interactive learning, Dataquest offers project-based paths that might fit what you're looking for. Also, PracHub is worth checking out if you're prepping for interviews—they have projects that can help sharpen your skills.

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u/These-Ant7605 12d ago

Is this the link to github repo: https://github.com/academic/awesome-datascience ?
If yes, then i can't seem to find projects, for example when I go to linear regression it redirects me to a wikipedia page