Power Query & M Language for Excel and Power BI
Power Query & M Language training for Excel and Power BI — learn how to build robust, reliable, and sustainable data transformation solutions.
This course focuses on understanding how Power Query works and how to design queries that remain stable as data and structures change.
👉 Access the complete Power Query & M Language course (full modules, exercises & quizzes):
🔗 https://www.skillnator.com/pq
Power Query is a powerful tool in Excel and Power BI, but using it effectively requires more than applying transformations through the user interface.
This training is designed for professionals who want to understand how data flows through Power Query, how transformations actually work, and how to design solutions that are robust, maintainable, and scalable over time.
Rather than focusing only on steps and clicks, the course builds strong foundations and gradually introduces best practices for designing reliable Power Query solutions, including when and why M language is required.
What you’ll learn
✅ How Power Query works in Excel and Power BI
✅ How data flows through queries and transformations
✅ Core and advanced transformations
✅ Designing queries that are robust and maintainable
✅ Understanding and using Power Query M language
✅ Avoiding common pitfalls that lead to broken or unreliable queries
Who this course is for
• Excel and Power BI users who want to go beyond UI-based transformations
• Analysts, finance professionals, and business users
• Anyone who wants to learn Power Query and M language properly
• Anyone building data workflows that need to remain reliable over time
No prior M-code experience required.
Tools & topics covered
Power Query in Excel
Power Query in Power BI
Power Query M language
Data cleaning and transformation
Robust query design
Sustainable data workflows
Chapters
00:00 Introduction & Course Overview
09:40 What Power Query Does and the ETL Framework
29:50 Basic Power Query Transformations
35:05 Text Transformations
40:30 Splitting Columns
44:30 Data Types and Error Handling
52:15 Aggregating and Summarizing Data
58:10 Advanced Power Query Transformations
1:00:00 Appending Queries
1:06:00 Append Pitfalls and Watchouts
1:18:00 Folder Consolidation
1:32:00 Merging Queries
1:39:00 Merge Pitfalls and Watchouts
1:46:00 Merge Types
1:49:00 Unpivot Transformation
1:57:00 Unpivot Pitfalls and Watchouts
2:04:00 Multi-Sheet Consolidation
2:09:00 Multi-Sheet Consolidation Pitfalls
2:12:00 Types of Errors in Power Query
2:14:00 Module 3 Recap and Outro
What the full course covers
This video covers module 1 - 3. The full course continues with:
• Writing and understanding Power Query M language
• Designing robust and maintainable queries
• Preventing silent data corruption
• Handling schema changes safely
• Building scalable Power Query solutions used in real business environments
👉 Access full course here:
🔗 https://www.skillnator.com/pq
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