Get all the resources used in my YouTube video “Complete Data Cleaning with Python” including the PDF notes, dataset (CSV file) and Python code.

Practice real-world data cleaning techniques, handle missing values, outliers, and duplicates, and build your confidence for Data Analyst projects and interviews.

You'll learn, how to handle all these:

1. Missing values
2. Duplicates
3. Incorrect data types
4. Inconsistent formatting
5. Outliers
6. Typographical or human errors

💡 Perfect for beginners, students, and anyone preparing for data analyst roles.