Power Query Practice: Hands-On Data Transformation Challenges

Raw data is rarely ready for analysis, and cleaning it manually in spreadsheets is tedious and error-prone. Power Query offers a powerful, automated way to import, clean, and shape your data with ease. In this written course, you will transition from manual data cleanup to building automated, repeatable data transformation pipelines. You will learn the foundational concepts of the Power Query engine and apply them to realistic, challenge-based scenarios, building the confidence to handle complex, messy datasets in Excel or Power BI. What you'll learn: - Understand foundational data transformation concepts, terminology, and the Power Query interface. - Clean and shape messy datasets by removing duplicates, splitting columns, and pivoting data. - Merge and append multiple data sources to create consolidated tables for analysis. - Apply basic M code customizations to extend Power Query's built-in capabilities. - Optimize your queries using basic query folding concepts to ensure efficient data loading. - Practice your skills through step-by-step written challenges based on real-world scenarios. The course begins with essential terminology and interface basics before guiding you through progressive data transformation challenges. You will read detailed explanations, analyze step-by-step solutions, and learn to write clean, efficient transformation steps. This course is designed for beginners who want to move beyond manual spreadsheet work, with no prior Power Query or programming experience required. Start mastering automated data preparation today.