The Data Analyst Playbook 2nd Edition

Most aspiring data analysts don't fail because the material is too hard. They fail because the path is broken: endless tutorials, half-finished courses, and roadmaps that tell you to learn everything at once. The Data Analyst Playbook gives you a clear, sequenced path into data analytics, written by a Senior Data Analyst for beginners and career shifters. What's inside: The 6-step workflow behind real analysis work, from defining the problem to presenting insights The modern analyst tech stack: SQL, spreadsheets, BI tools, terminal, Git, dbt, and AI tools The Self-Taught Trap: tutorial hell, no feedback loop, the 3-day stuck problem, and imposter syndrome An 8-part curriculum (Thinking Like an Analyst, Spreadsheets, SQL, Data Modeling, BI Tools, Terminal, Git, AI Tools), each with clear objectives, hand-picked free resources, and "Where Learners Get Stuck" notes One connected project: analyze the same retail dataset in Excel, SQL, dbt, and Power BI, and check that your numbers match at every step How to use Claude, Cursor, and Copilot without letting AI think for you A capstone passion project to build, document on GitHub, and share publicly A BigQuery + Looker Studio path for Mac users Who it's for: career shifters, fresh graduates, and self-learners stuck in tutorial hell who need structure and practice that mirrors real work. Not for: experienced analysts looking for advanced statistics or Python/ML content. About the author: Cedric Conol is a Senior Data Analyst at Remote and former Lead Data Analyst at Lamudi Group. He specializes in SQL, dbt, and modern data stacks, holds a Master's in Data Science from the Asian Institute of Management, and runs DataReady. Format: 24-page PDF with clickable links to every resource.