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π Roadmap to Become a Data Analyst β What to Learn in Each Month (6 Months Plan) ποΈ Month 1: Foundations - Excel (formulas, pivot tables, charts) - Basic Statistics (mean, median, variance, correlation) - Data types & distributions ποΈ Month 2: SQL Mastery - SELECT, WHERE, GROUP BY, JOINs - Subqueries, CTEs, window functions - Practice on real datasets (e.g. MySQL + Kaggle) ποΈ Month 3: Python for Analysis - Pandas, NumPy for data manipulation - Matplotlib & Seaborn for visualization - Jupyter Notebooks for presentation ποΈ Month 4: Dashboarding Tools - Power BI or Tableau - Build interactive dashboards - Learn storytelling with visuals ποΈ Month 5: Real Projects & Case Studies - Analyze sales, marketing, HR, or finance data - Create full reports with insights & visuals - Document projects for your portfolio ποΈ Month 6: Interview Prep & Applications - Mock interviews - Revise common questions (SQL, case studies, scenario-based) - Polish resume, LinkedIn, and GitHub React β€οΈ for more!