Data Aggregation

Learn how to aggregate data with pandas.


  • Learn different techniques for aggregating data.
  • Build intuition around the groupby operation.

Mission Outline

1. Introduction
2. Introduction to the Data
3. Using Loops to Aggregate Data
4. The GroupBy Operation
5. Creating GroupBy Objects
6. Exploring GroupBy Objects
7. Common Aggregation Methods with Groupby
8. Aggregating Specific Columns with Groupby
9. Introduction to the Agg() Method
10. Computing Multiple and Custom Aggregations with the Agg() Method
11. Aggregation with Pivot Tables
12. Aggregating Multiple Columns and Functions with Pivot Tables
13. Next steps
14. Takeaways

Course Info:

Data Cleaning and Analysis


The average completion time for this course is 10-hours.

This course requires a basic subscription and includes six paid missions, which includes one guided project.  It is the 6th course in the Data Analyst in Python path and Data Scientist in Python path.


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