Python Data Cleaning Notebook

🧼 Learn Data Cleaning in Python — Without Googling Every Step

This beginner-friendly Jupyter Notebook teaches you how to clean messy data using Pandas, one of the most popular Python libraries for data analysis. You’ll work hands-on with a real (intentionally messy) dataset and learn to fix common issues like missing values, weird formatting, and duplicates.

📂 What’s Included:

• data_cleaning_template.ipynb: A fully commented Jupyter Notebook that walks you through:
  • Importing data
  • Cleaning column names
  • Handling missing values
  • Fixing dates and email formats
  • Removing duplicates
  • Saving the cleaned data
• messy_data.csv: A sample dataset to follow along with
• README.txt: Simple instructions for getting started

🧠 Perfect For:

• Students learning Python or data science
• Bootcamp learners working on personal projects
• Anyone who wants a reusable data cleaning template

No fluff. Just clean code and hands-on practice.

👉 Download and start cleaning data like a pro today!