Mastering M Code for Power Query

3 Assets
10 Hours
Power BI
Power BI
SQL
SQL
Excel
Excel
Data Modeling
Data Modeling
Data Transformation
Data Transformation
Data Analysis
Data Analysis

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About This Path

In this Learning Path, you will delve into and master the practical application of Power Query/M for problem-solving. The path includes a variety of real-world development scenarios that demonstrate how to effectively apply M language techniques to your data.
The focus is not just on solving problems, but also on understanding the process and techniques used, enabling you to apply these skills to your own data. This path is the perfect follow-up to fundamental courses, allowing you to further develop your skills and become a valuable analyst within your team.

Who Should Take This Path

  • Individuals who are keen on analyzing data and creating insights with Power BI.
  • Professionals who want to maximize the potential of their organization's data assets.
  • Professionals who want to drive better business decisions using data.

What Are The Path Requirements

  • A Power BI account for Power BI Desktop and Power BI Service.
  • Prior knowledge of Power Query and M is recommended.

Applied Problem Solving with Power Query/M Cover

Applied Problem Solving with Power Query/M

Deepen your understanding of the Power Query/M concepts through practical application

Course 5 hours
Power Query/M - Nested Structures Cover

Power Query/M - Nested Structures

Get familiar with structured values in the M language and discover how to interact with them.

Course 3 hours
Power Query: Referencing Vs. Duplicating Queries Cover

Power Query: Referencing Vs. Duplicating Queries

Know the techniques how to be strategic in your workbook development through the use of query referencing and duplicating

Event 1 hours

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FOR INDIVIDUALS

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For Individuals

Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.

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FOR BUSINESS

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For Business

Training, tools, and guidance to unify and upskill the data analysts in your workplace.

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