This course is delivered as a recorded video. After completing all sessions, you must pass the final exam with a minimum score of 70% to receive credit.

This course covers a number of useful transformations using Power Query (Excel version) to clean, enrich, and shape data. Coverage includes pivoting and unpivoting, filtering and grouping, fuzzy matching, and more, with hands-on exercises for users to practice these skills. Power Query is an “ETL” tool that extracts, transforms, and loads data. This tool has a user-friendly interface that enables the Excel user to connect to data sets they previously did not have access to. It also enables powerful data transformations without requiring any coding and will save the Excel user time in performing their cleanup of data. This course is the ninth in a twelve-part series, Power Query: Beginning Data Analytics for the Excel User. The series is designed so the Excel user can learn the functionality of Power Query and the many benefits of this powerful tool. Each 1-hour webcast has hands-on examples to enable the Excel user to experience the active learning of Power Query.