This course provides Airmen a deeper understanding of the importance and techniques of cleaning and validating raw datasets in preparation of extrapolating information from them. Airmen will follow a single data source through the cleansing process, with each module providing a specific error and solution, to gain understanding of the tools and techniques to clean data prior to analysis. The course culminates in a direct contrast of the analysis of a raw and cleaned dataset. Following this short course, students will be able to readily recognize errors and weak points in data entry and apply cleansing techniques to ensure accurate and precise analytical outcomes from more advanced data manipulation efforts.