Learning Microsoft Power BI - Common Data Transformations with Power Query

This video tutorial explores the features, functions, and purpose of Power Query, emphasizing its ease of use and cost-effectiveness compared to other data cleaning tools. It covers the basics of data transformation, including selecting and renaming columns, and changing data types. The tutorial demonstrates practical applications using the Power Query editor and highlights best practices for efficient data management.

What is the primary purpose of Power Query?

How does Power Query handle dirty data?

Describe the ETL process as it relates to Power Query.

What are the three transformations recommended to apply on any table in Power Query?

Explain the significance of the 'Applied Steps' section in the Power Query editor.

What is the advantage of using the 'Choose Columns' button in Power Query?

What happens when you remove columns in Power Query?

How can you rename columns in Power Query?

What is the purpose of changing data types in Power Query?

How does Power Query ensure that new columns do not come in unexpectedly during data refresh?