📌 Topics Covered:

  • Introduction to the Power Query Editor interface.
  • The “Transform Data” workflow.
  • Basic cleaning: Removing rows and columns.
  • Data type correction (Text, Whole Number, Date).
  • Using the “Use First Row as Headers” feature.

📝 Class Summary: An introductory session on data preparation that teaches how to use Power Query to clean and structure raw data before it is loaded into the data model for visualization.

What You Will Learn:

  • How to access the Power Query environment from the Power BI Ribbon.
  • Techniques for promoting headers to ensure data fields are correctly identified.
  • Methods to fix common data type errors that prevent accurate calculations.
  • How to track and undo changes using the “Applied Steps” pane.

 

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Thanks and Good Luck