📌 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