Data Transformation in Power BI
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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Course Description
In this course, you’ll learn all about table transformations in Power BI. You’ll learn how to (un)pivot, transpose, and append tables. You’ll also get introduced to joins and discover when it makes sense to use them. 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.
- 1
Reshaping Data
FreeIn 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.
- 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.
- 3
Custom Columns
In this chapter, you’ll cover advanced features of Power Query, such as adding custom columns and custom conditionals.
- 4
Advanced Editor
In the final chapter, you’ll learn to read and write M language, which allows for a more efficient way to do data transformations in Power Query.
In the following tracks
Data Analyst in Power BIDatasets
Exercises and DatasetsCollaborators
Prerequisites
Data Preparation in Power BI
Khaled Choucri
Strategic Analyst
Khaled is a Power BI certified Strategic Analyst at Trilogy. He has a strong focus on data engineering and financial analytics. Khaled is passionate about studying human behavior and financial decision-making, particularly using machine learning and AI. He has a great desire to develop solutions for the technology-enabled future.
Maarten Van den Broeck
Senior Content Developer at DataCamp
Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
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