🚀 Roadmap to Become a Data Analyst in 2026 The good news: you don’t need a perfect master plan, just the right order consistency. ✅ How to actually start ✅ Think in layers, not 20 tools at once: * Foundations: Python (or R), SQL, spreadsheets * Data skills: cleaning, joins, feature engineering, EDA, basic viz * Stats: descriptive stats, probability, hypothesis tests, simple regressions * ML: start with regression/trees, move to XGBoost or basic deep learning later * Projects: a few end-to-end p