Data rarely comes in the perfect format we need - and that's exactly what we'll tackle in this module. Using tidyr, you'll learn to reshape data like a pro, converting between wide and long formats, and handling complex data structures. Through practical exercises with regional sales data, you'll master the tools needed to transform messy data into clean, analysis-ready formats.

Text data can be particularly challenging, but not after this module! You'll work with stringr to clean and standardize text data effectively. Using real product descriptions and customer data, you'll learn pattern matching and advanced string manipulation techniques that will make text data cleaning a breeze. You'll see how combining stringr with dplyr creates powerful solutions for complex data cleaning challenges.

Let's tackle those pesky data quality issues! In this module, you'll learn professional approaches to handling missing values, outliers, and duplicates. Working with actual order and inventory data, you'll develop strategies for maintaining data quality. Plus, you'll discover how modern AI tools can help automate your cleaning processes, making your work more efficient and consistent.