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Data Transformation in Power BI

IntermediateSkill Level
4.7+
4,769 reviews
Updated 12/2025
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
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Power BIData Manipulation
3 hr
9 videos
28 Exercises
2,150 XP
61,139
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Course Description

Apply Table Transformations

In this course, you’ll learn all about table transformations in Power BI. You’ll learn how to (un)pivot, transpose, and append tables.

Work with Joins

You’ll also get introduced to joins and discover when it makes sense to use them.

Utilize the Advanced Editor

Finally, you’ll gain power with custom columns, including how to use M language and the Advanced Editor, to help you be even more efficient in data preparation.

What you'll learn

  • Choose the appropriate combination method—append, merge, and join type—based on dataset structure and relationship requirements.
  • Identify the correct Power Query transformation for producing calculated or aggregated results.
  • Identify the correct Power Query transformation needed to reshape or reorient a dataset.
  • Recognize M-language syntax elements and distinguish whether M or DAX is used in a given modeling or transformation scenario.

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Prerequisites

Data Preparation in Power BI
1

Reshaping Data

In this chapter, you'll learn how to become a data plastic surgeon by restructuring and reshaping data in Power BI. You'll also stitch together data in different ways from various sources to enrich your analytical capabilities.
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2

Combining Data in Power Query

In this chapter, you'll learn stitch together data in different ways from various sources to enrich your analytical capabilities.
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3

Custom Columns

In this chapter, you’ll cover advanced features of Power Query, such as adding custom columns and custom conditionals.
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Data Transformation in Power BI
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FAQs

Is this course suitable for Power BI beginners?

The course assumes basic familiarity with Power BI. Chapter 1 starts with reshaping techniques like pivoting and unpivoting, so some prior experience loading data in Power Query is helpful.

What transformation techniques will I learn in this course?

You will learn how to pivot, unpivot, and transpose tables, merge and append queries using different join types, create custom columns, and write M language in the Advanced Editor.

What is M language, and will this course teach me how to use it?

M language is the scripting language behind Power Query transformations. Chapter 4 teaches you to read, write, and edit M code in the Advanced Editor, including variables and custom functions.

What types of joins are covered in this course?

Chapter 2 covers merging queries using left joins and right joins in Power Query, along with appending queries to combine data from multiple sources.

Who will benefit from this course?

Data analysts and BI professionals who already load data into Power BI and want to learn more efficient ways to reshape, combine, and transform it before building reports.

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