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πŸš€ Roadmap to Master Data Analytics in 50 Days! πŸ“ŠπŸ“ˆ

πŸ“… Week 1–2: Foundations
πŸ”Ή Day 1–3: What is Data Analytics? Tools overview
πŸ”Ή Day 4–7: Excel/Google Sheets (formulas, pivot tables, charts)
πŸ”Ή Day 8–10: SQL basics (SELECT, WHERE, JOIN, GROUP BY)

πŸ“… Week 3–4: Programming Data Handling
πŸ”Ή Day 11–15: Python for data (variables, loops, functions)
πŸ”Ή Day 16–20: Pandas, NumPy – data cleaning, filtering, aggregation

πŸ“… Week 5–6: Visualization EDA
πŸ”Ή Day 21–25: Data visualization (Matplotlib, Seaborn)
πŸ”Ή Day 26–30: Exploratory Data Analysis – ask questions, find trends

πŸ“… Week 7–8: BI Tools Advanced Skills
πŸ”Ή Day 31–35: Power BI / Tableau – dashboards, filters, DAX
πŸ”Ή Day 36–40: Real-world case studies – sales, HR, marketing data

🎯 Final Stretch: Projects Career Prep
πŸ”Ή Day 41–45: Capstone projects (end-to-end analysis + report)
πŸ”Ή Day 46–48: Resume, GitHub portfolio, LinkedIn optimization
πŸ”Ή Day 49–50: Mock interviews + SQL + Excel + scenario questions

πŸ’¬ Tap ❀️ for more!
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