🚀 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 projects matter more than dozens of half-finished notebooks 1. A simple learning order 2. Python → SQL → analysis + visualization → stats → ML → projects → interviews 3. You’ll loop back through these as you go. Our full roadmap breaks it down by the project lifecycle (business question → model → deployment), which feels much less chaotic. 4. How long until you feel “confident”? 5. Usually 6–12 months of part-time learning. 6. Confidence = 2–3 real projects + a round of inter...