Cleaning data is often described as the "unsexy" part of data science. I don't think this is true. Scrubbing a messy data set can reveal volumes about the context, history, and flaws of the dataset collected and inform the data analytics process. In this talk, I cover techniques that should be used when approaching data cleaning and provide practical exercises for attendees to complete.