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Python Advanced Data Analysis | Numpy Scikit-learn Cohort Analysis Machine Learning Prep

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★ ADVANCED PYTHON FOR ANALYSTS READY TO LEVEL UP ★

5 advanced Python exercises covering statistical analysis, machine learning preparation and cohort retention — the skills that get you from junior to senior analyst.

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📦 WHAT'S INSIDE
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• Python_Advanced_Tasks.ipynb — 5 exercise notebooks
• Python_Advanced_Solutions.ipynb — complete solutions
• README.txt

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📋 EXERCISES
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1. NumPy & Statistics — arrays, broadcasting, outlier detection
2. Advanced Pandas — apply, map, vectorised ops, MultiIndex
3. Machine Learning Prep — scikit-learn, encoding, scaling, LinearRegression
4. Cohort Retention Analysis — retention matrix, seaborn heatmap
5. End-to-End Pipeline — data quality report, segmentation, dashboard

⚙️ Requirements: Python 3.8+, pandas, numpy, matplotlib, seaborn, scikit-learn
⏱ Estimated time: 2–3 hours
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Listed on Jul 2, 2026
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