Introduction to Pandas

Learn how to use the pandas library to work with data.


  • Learn how NumPy and pandas work together.
  • Learn how to select and assign data in pandas using index labels.
  • How to use pandas to analyze data.

Mission Outline

1. Understanding pandas and NumPy
2. Introducing DataFrames
3. Selecting Columns From a DataFrame by Label
4. Column selection shortcuts
5. Selecting Items from a Series by Label
6. Selecting Rows From a DataFrame by Label
7. Series and Dataframe Describe Methods
8. More Data Exploration Methods
9. Assignment with pandas
10. Using Boolean Indexing with pandas Objects
11. Using Boolean Arrays to Assign Values
12. Challenge: Top Performers by Country
13. Next Steps
14. Takeaways


Course Info:

Pandas and NumPy Fundamentals


The average completion time for this course is 10-hours.This course requires a basic subscription and includes five missions and one guided project.  It is the 3rd course in the Data Analyst in Python path and Data Scientist in Python path.


Take a Look Inside