Book Content
chapters • 15h4m total length
1. Introduction to Data Wrangling with Python
2. Advanced Data Structures and File Handling
3. Introduction to Numpy, Pandas, and Matplotlib
4. A Deep Dive into Data Wrangling with Python
5. Getting Comfortable with Different Kinds of Data Sources
6. Learning the Hidden Secrets of Data Wrangling
7. Advanced Web Scraping and Data Gathering
8. RDBMS and SQL
9. Application of Data Wrangling in Real Life














