Moataz-Elmesmary/Data-Science-Roadmap resource

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4352 stars · 616 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A free self-learning roadmap repository guiding learners into data science from A to Z, curating the best free resources, videos, and cheatsheets. It covers the distinctions between data science, analytics, and engineering, plus topics like Python, SQL, statistics, machine learning, deep learning, NLP, and LLMs.

Use cases

• break into a data science career with a structured learning path
• find free resources to learn machine learning and deep learning
• prepare for data science interviews with question collections
• learn statistics, linear algebra, and probability for data science
• compare data science vs data analytics vs data engineering roles
• get a data science CV template and cheatsheets
• learn Python and SQL for data analysis

When to choose

• you want a curated, free, step-by-step self-study path into data science
• you need interview prep materials and CV templates alongside learning resources
• you are a beginner unsure which data career track fits you

When to avoid

• you need runnable software, libraries, or tools rather than learning material
• you want an accredited course with mentorship and certification
• you need deep, exhaustive coverage of a single advanced topic

Facets

learning-resource · maturity active

data-science machine-learning deep-learning data-visualization nlp data-science machine-learning tutorials education cross-platform roadmap self-learning cheatsheet interview-questions cv-template statistics sql python free-resources

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