π Roadmap to Master Data Analytics in 50 Days! ππ
π
Week 1β2: Foundations
πΉ Day 1β3: What is Data Analytics? Tools overview
πΉ Day 4β7: Excel/Google Sheets (formulas, pivot tables, charts)
πΉ Day 8β10: SQL basics (SELECT, WHERE, JOIN, GROUP BY)
π
Week 3β4: Programming Data Handling
πΉ Day 11β15: Python for data (variables, loops, functions)
πΉ Day 16β20: Pandas, NumPy β data cleaning, filtering, aggregation
π
Week 5β6: Visualization EDA
πΉ Day 21β25: Data visualization (Matplotlib, Seaborn)
πΉ Day 26β30: Exploratory Data Analysis β ask questions, find trends
π
Week 7β8: BI Tools Advanced Skills
πΉ Day 31β35: Power BI / Tableau β dashboards, filters, DAX
πΉ Day 36β40: Real-world case studies β sales, HR, marketing data
π― Final Stretch: Projects Career Prep
πΉ Day 41β45: Capstone projects (end-to-end analysis + report)
πΉ Day 46β48: Resume, GitHub portfolio, LinkedIn optimization
πΉ Day 49β50: Mock interviews + SQL + Excel + scenario questions
π¬ Tap β€οΈ for more!
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