Packt

Advanced Data Transformation with Power Query

Packt

Advanced Data Transformation with Power Query

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand and apply Power Query fundamentals

  • Master advanced data operations using Power Query functions

  • Implement efficient data processing and error handling techniques

Details to know

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Recently updated!

October 2026

Assessments

7 assignments

Taught in English

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This course is part of the The Definitive Guide to Power Query (M) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course

This module provides an in-depth look at the conceptual foundations of Power Query M, focusing on scope, the global environment, and query folding. Learners will explore how to manage variables, functions, and data transformations effectively to enhance query performance and data governance.

What's included

1 video4 readings1 assignment

This module teaches how to work with complex, hierarchical data structures such as nested tables, lists, and records. Learners will gain the skills to extract, transform, and manipulate nested data using Power Query M functions, with a focus on practical applications in data processing and analysis.

What's included

1 video20 readings1 assignment

This module teaches how to create and use custom functions in the M language, focusing on parameters, dynamic file paths, and reusable code structures. Learners will gain skills in improving query efficiency, handling data types, and designing flexible functions for real-world scenarios.

What's included

1 video14 readings1 assignment

This module covers the essential techniques for handling dates, times, and durations in Power Query using M language functions. Learners will gain skills in creating date tables, understanding time zones, and managing various date formats for accurate data reporting and analysis.

What's included

1 video7 readings1 assignment

This module focuses on advanced data manipulation techniques in Power Query, including comparing, replacing, combining, and splitting data. Learners will explore how to use comparer functions, custom replacers, combiners, and splitters to refine and structure data effectively. By the end, they will be able to apply these tools in real-world data preparation scenarios.

What's included

1 video15 readings1 assignment

This module equips learners with essential skills in handling errors and debugging in Power Query's M language. It covers strategies for identifying, raising, and managing errors, as well as techniques to improve query reliability and data integrity. Learners will gain practical knowledge to troubleshoot common issues and enhance their data transformation workflows.

What's included

1 video9 readings2 assignments

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