Moataz-Elmesmary/Data-Science-Roadmap
A self-learning roadmap for Data Science covering mathematics, statistics, ML, deep learning, LLMs, NLP, and MLOps with free resources.
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This repository provides a structured self-learning roadmap for Data Science spanning foundational mathematics and statistics through advanced machine learning, deep learning, NLP, LLMs, and MLOps topics. It curates free educational resources across the full data science lifecycle from business understanding to deployment, with a focus on Python, SQL, data engineering, and model development. The roadmap includes interview preparation materials, cheat sheets, and reference guides for learners progressing from beginner to advanced levels.
Frequently asked
- What is Moataz-Elmesmary/Data-Science-Roadmap?
- A self-learning roadmap for Data Science covering mathematics, statistics, ML, deep learning, LLMs, NLP, and MLOps with free resources.
- Is Data-Science-Roadmap open source?
- Yes — Moataz-Elmesmary/Data-Science-Roadmap is open source, released under the MIT license.
- How popular is Data-Science-Roadmap?
- Moataz-Elmesmary/Data-Science-Roadmap has 4.3k stars on GitHub.
- Where can I find Data-Science-Roadmap?
- Moataz-Elmesmary/Data-Science-Roadmap is on GitHub at https://github.com/Moataz-Elmesmary/Data-Science-Roadmap.