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Here’s exactly what I’d do if I was starting over: 1.\tDownload datasets from Kaggle 2.\tGet good at Excel formulas: XLOOKUP, IFS, SUMIFS, Pivot Tables 3.\tLearn Power BI → Load your dataset → Build graphs → Practice DAX formulas and calculated fields 4.\tGet great at SQL: focus on joins, subqueries, unions, and filtering 5.\tOnly then, learn Python → Just start with pandas and matplotlib Just build stuff, break it, and build again. That’s how you get hired. ##dataanalyst
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How to Become a Data Scientist in 2025! Dreaming of becoming a Data Scientist but confused where to start? This beginner-friendly roadmap will guide you step-by-step — from Excel to Machine Learning to real-world projects! 🚀 📚 What’s covered: ✅ Excel & Google Sheets – Data cleaning & organization ✅ Statistics & Math – Mean, SD, Probability, Hypothesis Testing ✅ Python – Pandas, NumPy, Matplotlib, Seaborn, Jupyter ✅ SQL – Extracting, filtering & summarizing data from databases ✅ Data Visualizat
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