Book Content
chapters • 19h12m total length
1. Introduction to Data Wrangling with Python
2. Advanced Operations on Built-In Data Structures
3. Introduction to Numpy, Pandas, and Matplotlib
4. A Deep Dive into Data Wrangling with Python
5. Get Comfortable with Different Kinds of Data Sources
6. Learning with Hidden Secrets of Data Wrangling
7. Advanced Web Scrapping and Data Gathering
8. RDBMS and SQL
9. Applications in Business Use Cases and Conclusion of the Course














