πRoadmap to Become a Data Analyst β 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! π±
Post #2005
4.97K
- β€ 17
- π 2