Data Analyst Portfolio Starter

Ready to land your first data analyst job? Start building your portfolio today.
This hands-on guide walks you through 10 real-world projects using the tools employers actually want: SQL, Power BI, and Python . No fluff, no theory overload - just practical, portfolio-ready projects you can showcase in interviews.
What you'll build:
HR Employee Directory - Master SQL basics with filtering, sorting, and aggregationProduct Catalog Audit - Find pricing issues and negative marginsCustomer Segmentation - RFM analysis with Python and visualizationSales Forecasting - Time series analysis and trend predictionE-Commerce Dashboard - Complete capstone with star schema and executive KPIs
What makes this book different:
Real business scenarios with messy, realistic dataStep-by-step solutions you can follow alongInterview talking points for every projectDownloadable datasets - start practicing immediatelyCommon mistakes section to avoid beginner pitfalls
Perfect for: Career switchers, bootcamp graduates, self-taught analysts, and anyone preparing for data analyst interviews.
By the end of this book, you'll have 10 portfolio projects ready for GitHub and LinkedIn - and the confidence to talk about them in any interview.
Volume 1 of the Data Analyst Portfolio series.

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