Data Cleaning and Analysis

Learn Python data cleaning and analysis with pandas.

Learn to clean data with pandas and prepare it for analysis. The topics include aggregating data, combining datasets, cleaning strings, and handling missing data.By the end of this course, you'll be able to:

  • Use different data aggregation techniques.
  • Combine data sets.
  • Transform and reshape data.
  • Clean strings and handle missing data.

Course Info:

Data Cleaning and Analysis


The median completion time for this course is 7.2 hours

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


Learn Python Data Cleaning and Analyze Data Using Pandas

Data Aggregation

Learn how to aggregate data with pandas.

Combining Data with Pandas

Learn how to combine data with pandas.

Transforming Data with Pandas

Learn how to transform data with pandas.

Working with Strings in Pandas

Learn how to work with strings in pandas.

Working with Missing and Duplicate Data

Learn how to work with missing and duplicate data in pandas.

Guided Project: Clean And Analyze Employee Exit Surveys

Practice data cleaning using pandas.