MISSION 351

Cleaning and Preparing Data in Python

Learn how to clean and and prepare text data in Python.

Objectives

  • How to work with and prepare text data in Python.
  • Learn basic data cleaning techniques.
  • Learn how to handle errors during data cleaning.

Mission Outline

1. Introducing Data Cleaning
2. Reading our MoMA Data Set
3. Replacing Substrings with the replace Method
4. Cleaning the Nationality and Gender Columns
5. String Capitalization
6. Errors During Data Cleaning
7. Parsing Numbers from Complex Strings, Part One
8. Parsing Numbers from Complex Strings, Part Two
9. Next Steps
10. Takeaways

Course Info:

Python for Data Science: Intermediate

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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