Power Query for Power BI: Essential Data Transformation

Raw data is rarely ready for reporting and decision-making right away. This text-based course guides you through data preparation in Power BI using the Power Query Editor, turning unstructured datasets into clean, analysis-ready data models. You will establish a strong understanding of fundamental concepts and interface terminology before advancing into practical transformation techniques. What you'll learn: Understand core extraction, transformation, and loading (ETL) concepts within Power BI; Connect to varied data sources including files, web feeds, and relational databases; Clean and standardize messy records by handling missing values, filtering rows, and correcting data types; Reshape complex tables using unpivot, transpose, split, and merge operations; Combine disparate datasets efficiently using append and merge queries; Apply foundational M code expressions to customize and automate repeatable transformation steps. The lessons begin with essential data modeling terminology and progress step-by-step through practical written scenarios and guided exercises. Designed specifically for beginners, business analysts, and aspiring reporting specialists, this course requires no previous programming or data preparation background. Start reading today to streamline your data pipelines and build robust Power BI reports.