Power Query Editor

Learn how to clean, transform, and prepare data using the Power Query Editor. Master data connections, transformations, M functions, and best practices to shape raw data into structured datasets ready for analysis in Power BI and Excel.

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🔄 Data Transformation

Replace Value

Use the Replace Values feature in Power Query Editor to substitute existing values in a column.

Transpose a Table

Rotate a table 90 degrees by converting rows into columns and columns into rows.

Split Column in Power Query Editor

Split a single column into multiple columns using delimiters or positions.

Duplicate Column in Power Query Editor

Create a duplicate copy of an existing column for further transformations.

Remove, Count, Reverse Rows

Learn how to remove rows, count rows, and reverse row order inside Power Query.

Merge, Remove, Rename, Choose and Go to Columns

Manage columns by merging, renaming, removing, and selecting specific columns.

Conditional Column in Power BI

Create new columns using conditional logic similar to IF statements.

Standard Function in Power BI

Use standard transformation functions available in Power Query Editor.

Promote and Demote Headers in Power BI

Convert rows into column headers or revert headers back into rows.

Index Column in Power BI

Add sequential numbering to rows for indexing and referencing.

Keep Remove Duplicates in Power Query Editor

In this exercise, we will learn how to keep or remove duplicate values in the Power Query Editor.

Pivot Column in Power BI

Transform unique row values into columns for reshaping datasets.

Unpivot Columns in Power BI

Convert multiple columns into attribute-value rows for normalized data.