मुफ़्तComputer Science
Data Science Foundations
A compact on-ramp to data science: just enough Python, pandas, and statistics to analyze a real public dataset and produce your first mini data report.
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