Data Analyst — resources
roadmap.sh: https://roadmap.sh/data-analyst
Books
- Storytelling with Data (Cole Nussbaumer Knaflic) — the go-to guide for turning analysis into clear, persuasive visuals.
- Python for Data Analysis (Wes McKinney) — Pandas from its creator; the practical reference for wrangling data in Python.
- Practical Statistics for Data Scientists (Peter Bruce & Andrew Bruce) — the statistics an analyst actually uses, explained concisely.
- The Big Book of Dashboards (Wexler, Shaffer & Cotgreave) — real-world dashboard patterns and what makes them work.
Courses / practice
- Google Data Analytics Certificate — well-structured entry path covering spreadsheets, SQL, R, and Tableau.
- Kaggle Learn — free hands-on micro-courses on Pandas, SQL, and data visualization with datasets to practice on.
- Mode SQL Tutorial — interactive SQL from basics through window functions, framed around real analysis.
- pandas official documentation — canonical reference and user guide for the core Python data library.