File processing with Python

Read, clean, and process real-world data files using Python - no manual editing, no headaches.

This hands-on course teaches you how to work with popular file formats like CSV, Excel, and JSON using Python. Whether you're analyzing data, automating reports, or building apps, these are skills every Python developer needs.

Perfect for beginners and intermediate users who want to level up their Python workflow.

🎓 What you’ll learn:

✅ Load and read CSV files using Python’s built-in libraries
✅ Work with Excel files (.xls and .xlsx) using pandas and openpyxl
✅ Parse and extract data from JSON files
✅ Clean, filter, and manipulate data from various sources
✅ BONUS: Best practices for handling messy or inconsistent files

🚀 Why take this course?

Almost every real-world Python project deals with external data — from spreadsheets to APIs. Knowing how to read and process these files efficiently will save you hours and open up new project possibilities.

“If you’ve ever copy-pasted data manually, this course will feel like a superpower.”

📦 What’s included:

🎥 Step-by-step video lessons
📁 Downloadable source code for all examples
🧪 Real-world examples you can use and adapt
💡 Uses both the standard library and pandas — no prior data science experience needed