Power BI Data Prep: Clean, Transform, and Load with Power Query

Raw data is rarely ready for analysis, often arriving cluttered, poorly formatted, or incomplete. To build accurate Power BI reports, you must first master the art of data preparation. This text-based course guides you through the foundational concepts of data transformation, showing you how to connect to various data sources, profile your columns to spot anomalies, and apply structured cleaning steps to shape your data into an analytical model. What you'll learn: - Understand fundamental data preparation concepts and the Power Query interface. - Profile and analyze your data columns to identify quality issues and null values. - Apply essential transformations including pivoting, unpivoting, merging, and appending queries. - Configure data types, text formats, and custom columns to ensure data consistency. - Optimize your data load process by applying modern query folding principles. - Practice structuring messy real-world datasets through step-by-step written exercises. Starting with basic terminology and interface navigation, the course progresses systematically through data cleaning techniques, structural transformations, and loading strategies. Designed entirely for beginners, this course requires no prior experience with data modeling or Power BI. Start reading today to transform raw, chaotic data into structured, report-ready datasets.