This course provides a straightforward toolkit for cleaning data using the tidyverse package. In this course, we cover data best practices, how to identify potential issues easily, and how to create pipelines to make cleaning our data even easier. Through this course, students can work with an example dataset that includes intentional typos. Or work with your own dataset that needs to be cleaned!