Build a REAL-WORLD ETL Pipeline with Pandas in MINUTES

Build a real-world ETL pipeline with Pandas! 🛠️ This tutorial walks through extracting Olympic medal data, transforming it with Pandas (cleaning, formatting), and visualizing insights. Perfect for aspiring data engineers and analysts.

🎯 What you'll master:
✅ End-to-end data extraction (APIs, HTML tables)
✅ Essential Pandas techniques (missing data, renaming, joins)
✅ Local data loading & CSV storage
✅ Interactive visualizations with Plotly (bar charts, trends)
✅ Real data engineering workflows

🔍 Ideal for data science beginners, Python programmers, and Pandas learners wanting to build production-ready skills. No fluff—just practical coding using Olympic dataset examples!

Transform raw data into actionable insights with professional data pipelines. Start building your own Pandas-powered analytics today!

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🔗 Timestamps:
0:00 Project Overview
1:25 Setting Up Libraries
2:10 Extracting Guardian Data
4:50 Transforming Raw Data
8:20 Loading Clean CSV
10:15 Interactive Visualizations

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