Build robust Power Query solutions using M-code, real-world datasets, and scalable data transformation techniques
Power Query is one of the most powerful tools available in Excel and Power BI for working with data at scale.
What you’ll learn
- Clean, transform, and automate Excel and Power BI data using Power Query to build efficient, repeatable workflows.
- Design scalable Power Query solutions that continue working reliably as data grows and changes.
- Understand Power Query data types (tables, lists, records) and retrieve values with clarity and confidence.
- Read, write, and modify M language to extend Power Query beyond basic transformations.
- Design queries that handle errors intentionally, resulting in more reliable and refresh-safe reports.
- Transform and automate complex real-world datasets, including multi-folder consolidation and unpivoted data.
- Adopt a modern analyst mindset focused on automation, scalability, and long-term maintainability.
- Build a clear and structured query architecture in Power Query so your solutions remain understandable and easy to manage.
Course Content
- Module 0 – Course Introduction and How to Succeed with Power Query –> 4 lectures • 8min.
- Power Query Foundations & the ETL Framework –> 8 lectures • 20min.
- Data Cleaning & Transformations Using the Power Query Editor –> 9 lectures • 28min.
- Combining Data and Understanding Power Query Pitfalls –> 18 lectures • 1hr 15min.
- M Language Foundations – Data Types and Core Objects –> 9 lectures • 42min.
- M Language Expressions, Functions, and Defensive Design –> 14 lectures • 44min.
- Designing Robust Power Query Solutions at Scale –> 13 lectures • 1hr 24min.
Requirements
Power Query is one of the most powerful tools available in Excel and Power BI for working with data at scale.
It allows you to clean, transform, and automate data in a way that saves time, reduces manual effort, and creates solutions that can be reused again and again.
This course is designed to help you build a clear and confident way of thinking about Power Query, so you can design data transformations intentionally and with purpose.
Rather than focusing only on individual features, you’ll learn how Power Query works as a system — how data flows through queries, how different data types behave, and how small design decisions affect long-term reliability.
We start from the foundations and gradually move into more advanced, real-world scenarios, always explaining why each approach works, not just how to apply it.
Throughout the course, you’ll learn how to:
- Work confidently with tables, lists, and records
- Understand and edit M language in a practical, approachable way
- Design queries that adapt when source data changes
- Handle errors proactively to build reliable, refresh-safe solutions
- Transform messy, real-world datasets that don’t follow perfect structures
Everything is explained step by step, with a strong emphasis on clarity, logic, and scalability.
What makes this course different is its focus on thinking and reasoning, not memorization. You’ll learn how to approach Power Query problems methodically, design robust solutions before writing code, and build transformations that continue to work long after they’re created.
By the end of the course, Power Query will feel clear, logical, and under your control — allowing you to focus on higher-value analysis instead of repetitive data preparation.
No prior Power Query or programming experience is required.
If you want to work with data in a more scalable, automated, and intentional way, this course will change how you approach data transformation.