Master CSV, Excel & JSON Files in Python | File Handling in Data Analysis (csv, json, openpyxl)
Welcome to Video 4 of the Data Analysis with Python playlist by PowerPro Academy 🎓
In this extended and beginner-friendly episode, we dive deep into reading and writing data files using Python — covering CSV, Excel, and JSON step-by-step.
You’ll not only learn the syntax but also understand why and when to use each file format in real-world data analysis projects.
Each concept is explained through fun analogies, hands-on examples, and a quick quiz to test your knowledge.
📊 What You’ll Learn:
✅ Understanding the difference between CSV, Excel, and JSON
✅ Reading & writing CSV files using the csv module
✅ Handling Excel spreadsheets with openpyxl
✅ Working with JSON files for web and API data
✅ Building a mini project that connects all three file types
🕒 Timestamps (11:40 min):
0:00 – Why Data Files Matter
1:15 – The Difference Between CSV, Excel & JSON
2:45 – Reading & Writing CSV Files
4:30 – Excel File Handling (openpyxl)
7:00 – JSON Files (Reading & Writing)
9:15 – Real-World Project (CSV → JSON Conversion)
10:45 – Quick Quiz + Outro
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