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FreeComputer Science

Data Science Foundations

A compact, beginner-friendly on-ramp to data science: understand what the field actually involves, pick up just enough Python, pandas, and statistics to be dangerous, then use it all to analyze a real public dataset and produce your first mini data report.

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Get oriented on what data scientists actually do day to day, and why Python is the field's default toolkit.

    • What a data scientist's job actually looks like day to day
    • How data science differs from data analytics and software engineering
    • Common myths about the role, from someone who has worked in it
    • Why the field attracts so much hype, and where that's overstated
    • The end-to-end data science workflow, from raw data to insight
    • Core vocabulary: datasets, features, models, and metrics
    • Where Python, statistics, and machine learning each fit in
    • A first look at the tools you'll use throughout this path