Power Query and M Language Essentials for Excel and Power BI

Handling messy, inconsistent data across spreadsheets and reporting dashboards can consume hours of manual effort. This comprehensive written course teaches you how to leverage the full power of Power Query alongside foundational M language programming to automate your data preparation pipelines seamlessly. You will begin by exploring core data architecture terms, query execution concepts, and essential interface navigation. From there, you will learn to build automated data transformation workflows that work consistently in both Excel and Power BI. What you'll learn: Understand core data transformation terminology, query structures, and foundational definitions. Import, shape, and combine disparate datasets from multiple sources efficiently. Apply advanced transformation techniques including unpivoting, merging, grouping, and conditional logic. Read, edit, and write basic M language formulas to extend standard query capabilities. Configure query parameters and custom functions to handle recurring data ingestion tasks. Load cleaned data models smoothly into dynamic spreadsheet tables and business intelligence environments. The course starts with essential terminology and fundamental query operations before introducing advanced data blending, custom column creation, and hands-on M code customization through detailed text explanations and written code examples. This course is designed for beginners, data analysts, and spreadsheet users who want to automate repetitive data tasks without needing prior coding knowledge. Start reading today to transform your raw data into clean, actionable insights.