✅ Data Analytics Roadmap for Beginners (2025) 📊🧠

1. Understand What Data Analytics Is
⦁ Extracting insights from data to support decisions
⦁ Types: Descriptive, Diagnostic, Predictive, Prescriptive

2. Learn Excel or Google Sheets
⦁ Functions: VLOOKUP, INDEX-MATCH, IF, SUMIFS
⦁ Pivot tables, charts, data cleaning

3. Learn SQL
⦁ SELECT, WHERE, JOIN, GROUP BY
⦁ Analyze real-world datasets (sales, users, etc.)

4. Learn Python for Data
⦁ Libraries:
⦁ Pandas (data manipulation)
⦁ NumPy (arrays, math)
⦁ Matplotlib/Seaborn (visualization)

5. Learn Data Visualization Tools
⦁ Power BI or Tableau
⦁ Dashboards, filters, KPIs, storyboards

6. Practice with Real Datasets
⦁ Kaggle
⦁ Google Dataset Search
⦁ Government portals

7. Understand Basic Statistics
⦁ Mean, Median, Mode
⦁ Correlation vs. Causation
⦁ Hypothesis testing & p-values

8. Work on Projects
⦁ Sales performance dashboard
⦁ Customer segmentation
⦁ Product usage trends

9. Learn Basics of Reporting & Storytelling
⦁ Turn numbers into clear insights
⦁ Focus on key metrics and visuals

10. Bonus Skills
⦁ Git & GitHub
⦁ Data cleaning techniques
⦁ Intro to machine learning (optional)

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