Create and Alter DataFrame Indexes

In this course, you'll dive into DataFrame indexing with pandas. Follow Abby, a marketing analyst, as she navigates her marketing dataset. You'll learn reindexing, .loc, .iloc, data filtering techniques, and more through interactive demos.

This course will focus on skills needed to clean data using pandas DataFrames in Python. You'll follow Abby the marketing analyst while she explores customer data as she gets ready for a marketing campaign for her company, MadeUp Inc. In this course, Create and Alter DataFrame Indexes, you’ll gain the ability to reference data in a pandas DataFrame using indexes, which is useful when you're trying to access or filter data in a DataFrame for data exploration and cleansing. First, you’ll explore pandas DataFrames and indexes. Next, you’ll discover how to create and recreate indexes on DataFrames. Then, you’ll see how to access rows of a DataFrame with different syntaxes. Finally, you’ll learn how to filter DataFrames for rows that match or contain certain string values. When you’re finished with this course, you’ll have the skills and knowledge of creating and altering DataFrame indexes needed to access and filter data in DataFrames for data exploration and cleansing.

• Course Overview 1min
• Create and Recreate Indexes on DataFrames 15mins
• Access Rows in a DataFrame 21mins