Python Data Analysis Basics

Learn the fundamentals of data analysis in Python and how to format text data.


  • Learn basic data analysis techniques.
  • Learn how to summarize numeric data.
  • Learn how to format strings in Python.

Mission Outline

1. Reading our MoMA Data Set
2. Calculating Artist Ages
3. Converting Ages to Decades
4. Summarizing the Decade Data
5. Inserting Variables Into Strings
6. Creating an Artist Frequency Table
7. Creating an Artist Summary Function
8. Formatting Numbers Inside Strings
9. Challenge: Summarizing Artwork Gender Data
10. Next Steps
11. Takeaways

Course Info:

Python for Data Science: Intermediate


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

This course is free and includes five missions and one guided project. It is the 2nd course in the Data Analyst in Python path and Data Scientist in Python path.


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