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Course

Data Transformation in Power BI

Intermediate3 hr

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Python3 hr9 videos28 Exercises2,150 XP64,288Statement of accomplishment

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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.

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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.

Prerequisites

Curriculum

Course outline

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

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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