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Python Data Analysis Intermediate | Pandas Merge Pivot Time Series Matplotlib
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Highlights
★ THE PYTHON SKILLS THAT REAL DATA ANALYSTS USE EVERY DAY ★
5 intermediate Python exercises covering the tools used daily by working data analysts — merging datasets, building pivot tables, analysing time series and creating visualisations.
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📦 WHAT'S INSIDE
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• Python_Intermediate_Tasks.ipynb — 5 exercise notebooks
• Python_Intermediate_Solutions.ipynb — complete solutions
• README.txt
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📋 EXERCISES
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1. Data Merging — merge, concat, join types (inner/left/outer)
2. Advanced GroupBy — agg dicts, transform, pivot_table
3. Time Series — resample, rolling average, shift, dt accessor
4. Visualisation — matplotlib bar, line, histogram, subplots
5. Applied KPI Dashboard — full mini-project combining all skills
⚙️ Requirements: Python 3.8+, pandas, numpy, matplotlib
⏱ Estimated time: 90–120 minutes
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