Data Preparation in Power BI with the M Language
Clean, transform, and optimise data in Power BI using M Language—the skill separating junior analysts from data engineering professionals. This focused course cuts through theory to show you exactly how M automates repetitive data prep tasks that currently eat your time. You’ll move from manual transformations to scalable, maintainable queries.
AIU.ac Verdict: Ideal for Power BI users ready to level up beyond the GUI and BI professionals managing complex data pipelines. The 35-minute format is punchy but assumes basic Power BI familiarity—complete beginners may need foundational grounding first.
What This Course Covers
You’ll work through M Language fundamentals within Power BI’s Query Editor, covering syntax essentials, function libraries, and how to chain transformations efficiently. The course focuses on practical scenarios: handling missing values, reshaping tables, merging datasets, and writing reusable logic that scales across your data models.
Expect hands-on labs where you’ll refactor manual steps into M code, optimise query performance, and debug common errors. Avdhesh Gaur structures the content around real ETL workflows—the exact patterns you’ll encounter when automating data pipelines in enterprise environments.
Who Is This Course For?
Ideal for:
- Power BI analysts hitting GUI limits: You’re comfortable with Power BI but frustrated by repetitive manual transformations. M Language unlocks automation and reproducibility.
- BI professionals moving toward data engineering: You need to bridge the gap between analytics and engineering. M Language is your gateway to more robust, maintainable data workflows.
- Data professionals supporting multiple stakeholders: Managing dozens of Power BI reports? M Language lets you build reusable transformation logic that saves hours per week.
May not suit:
- Complete Power BI newcomers: This assumes you’ve used Power BI’s interface. Start with Power BI fundamentals first, then return here.
- SQL-only practitioners with no BI exposure: You’ll need basic Power BI context to follow the Query Editor environment and how M fits into the broader workflow.
Frequently Asked Questions
How long does Data Preparation in Power BI with the M Language take?
35 minutes of video content. Plan 1–2 hours total if you’re working through the hands-on labs and experimenting with your own queries.
Do I need prior M Language experience?
No. Avdhesh covers M fundamentals from scratch. You should be comfortable navigating Power BI’s Query Editor and understand basic data transformation concepts.
Will this help me write production-grade M code?
Yes. The course focuses on patterns and best practices used in enterprise environments. You’ll learn error handling, performance optimisation, and code structure that scales.
Can I apply this to Power Query in Excel?
Absolutely. M Language is identical across Power BI, Excel, and Power Query Online. The principles transfer directly.
Course by Avdhesh Gaur on Pluralsight. Duration: 0h 35m. Last verified by AIU.ac: March 2026.
