• Advanced Pandas
  • Additional data types
  • Loops and conditions


  • Extracting and transforming data from “Manipulating DataFrames with pandas”
  • Fundamental data types chapter of “Data Types for Data Science”
  • Logic, Control Flow and Filtering + Loops of “Intermediate Python for Data Science”
  • Case Study: Hacker Statistics

Home Assignment

Complete any two “beyond the basics” or “harder” problems from Pandas Puzzles