Pandas for Data Engineering & Data Science
Table of Contents
🎯 Course Mission
Pandas for Data Engineering & Data Science is a professional-grade course designed to:
- Build strong Pandas fundamentals
- Write clean, efficient, production-ready data code
- Support Python usage across ETL, analytics, and ML pipelines
- Think like a data engineer, not just a notebook user
This course is ideal for:
- Data Engineers 🏗️
- Data Scientists 🔬
- ML / AI Engineers 🤖
- Backend Engineers working with data 💻
One Pandas course. From CSV to production.
🧠 What You Will Learn
- Core Pandas data structures and indexing
- Data loading, cleaning, and transformation
- GroupBy, aggregation, and window thinking
- Performance tips and common pitfalls
- Pandas patterns used in real data systems
🏛️ Course Structure (DE101 Series)
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DE101-PD01 — Pandas & the Data Engineering Mindset
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DE101-PD02 — Pandas Series, DataFrame, and Indexing (Real-World Mindset)
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DE101-PD03 — Data Cleaning & Transformation (Production Mindset)
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DE101-PD04 — GroupBy, Aggregation & Joins (Analytics & Interview Mastery)
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DE101-PD05 — Performance & Production Patterns (From Pandas to Scale)
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DE101-PD06 — Finding Insights with Pandas (From Data to Decisions)