Reshaping Data with pandas Data Camp

Overview

Context

Often data is in a human-readable format, but it’s not suitable for data analysis. This is where pandas can help—it’s a powerful tool for reshaping DataFrames into different formats. 

In this Reshaping Data with pandas course offered by Data Camp, you’ll grow your data scientist and analyst skills as you learn how to wrangle string columns and nested data contained in a DataFrame. You’ll work with real-world data, including FIFA player ratings, book reviews, and churn analysis data.

What you will do during this course:

• You’ll then learn how to pivot data from long to a wide format, and get summary statistics from a large DataFrame.
• You'll learn how to use the melting method and wide to long function before discovering how to handle string columns by concatenating or splitting them.
• You’ll level-up your data manipulation skills using multi-level indexing. You'll learn how to rearrange levels of the row indexes to the column axis, or vice versa. You'll also gain the skills you need to handle missing data generated in the stacking and unstacking processes.
• You'll learn how to combine the reshaping process with grouping to produce quick data manipulations. 
• You'll discover how to transform list-like columns and handle complex nested data, such as nested JSON files.