Power BI Data Transformation: Power Query and Query Load Management

Efficient business intelligence reports rely on clean, well-structured data pipelines before any visualization begins. This course teaches you how to leverage Power Query in Power BI to transform messy raw data, optimize model performance, and strategically control query loading behavior. By working through practical reading modules and guided exercises, you will develop the foundational skills needed to prepare robust data models ready for analysis. What you'll learn: - Understand core Power Query terminology, the transformation pipeline, and the M engine basics - Apply essential data cleaning operations including filtering, splitting, pivoting, and merging tables - Manage the Enable Load and Include in Report Refresh settings to optimize data model memory and performance - Design clean staging queries and reference architectures for reusable transformations - Identify and resolve common data type mismatches, missing values, and query errors - Implement modern data modeling practices like star schemas to support clean analytics You will begin with essential terminology and the mechanics of the Power Query editor before progressing through step-by-step transformation techniques and performance optimization strategies. This course is designed for beginners and aspiring data analysts with no prior experience in Power Query or data modeling required. Start reading today to build reliable, high-performance Power BI data workflows.