## Month 1: Excel & Statistics
- Advanced Excel (VLOOKUP, Pivot Tables, Charts)
- Descriptive statistics
- Probability basics
## Month 2-3: SQL
- SELECT, JOIN, GROUP BY, HAVING
- Subqueries and CTEs
- Window functions
- Practice on real datasets
## Month 4: Python for Data
- Pandas, NumPy
- Data cleaning
- Matplotlib, Seaborn
## Month 5: Visualization
- Tableau or Power BI
- Dashboard design principles
- Storytelling with data
## Month 6: Job Prep
- Build 3 portfolio projects
- Kaggle competitions
- Practice case studies
- Apply
All Resources
BeginnerDataAnalyticsSQL
Data Analyst Roadmap (2025)
Become a data analyst: Excel, SQL, Python, visualization, and statistics.
8 min readUpdated 2025-02-05
Pro Tips
- ✓SQL is the most important skill — master it
- ✓Always tell a story with your data, not just show numbers
Common Mistakes
- ✗Skipping statistics
- ✗Only knowing tools without understanding business context
FAQ
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