Table of Contents

  1. Pandas, the Python library
  2. Setting up a Data Analysis Environment
  3. Day 1 - Data Structures in Pandas library
  4. Day 2 - Working within a DataFrame, Basic Functionalities
  5. Day 3 - Working within a DataFrame, Advanced Functionalities
  6. Day 4 - Working with two or more DataFrames
  7. Day 5 - Working with data sources and real-word datasets
  8. Day 6 - Troubleshooting Challenges wit Real Datasets
  9. Day 7 - Data Visualization and Reporting
  10. Conclusion – Moving Beyond