Exploring Data with Pandas: Intermediate

Learn more techniques for selecting and analyzing data in pandas.


  • Learn how to select data in pandas by location.
  • Learn how to use boolean masks in pandas to create complex filters.
  • Learn more pandas methods for data analysis.

Mission Outline

1. Introduction
2. Reading CSV files with pandas
3. Using iloc to select by integer position
4. Using iloc to select by integer position continued
5. Using pandas methods to create boolean masks
6. Working with Integer Labels
7. Pandas Index Alignment
8. Using Boolean Operators
9. Using Boolean Operators Continued
10. Sorting Values
11. Using Loops with pandas
12. Challenge: Calculating Return on Assets by Country
13. Next Steps
14. Takeaways


Course Info:


The median completion time for this course is 6.77 hours. View Details

This course requires a basic subscription and includes five missions and one guided project.  It is the third course in the Data Analyst in Python path and Data Scientist in Python path.


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