Excel Data Modeling and Automation with Power Query

Manually cleaning and shaping data in Excel every week wastes valuable time and limits your analytical capabilities. By transitioning from manual spreadsheets to automated data models, you can turn complex, messy datasets into structured, refreshing-on-click reports. This text-based course guides you through the foundational concepts of relational data modeling and automated ETL (Extract, Transform, Load) processes in Excel. You will learn to establish clean workflows that update automatically, allowing you to focus on discovering insights rather than fighting formatting. What you'll learn: 1. Understand core data modeling concepts, relational schemas, and star schema design principles. 2. Connect and clean external data sources automatically using Power Query. 3. Build robust data models by establishing relationships between multiple tables without complex VLOOKUPs. 4. Write foundational DAX measures in Power Pivot to perform advanced calculations. 5. Implement modern dynamic arrays and formulas to enhance your interactive reporting. 6. Practice designing clean, automated workflows through step-by-step written tutorials and structured exercises. You will start with key terminology and database fundamentals before moving into hands-on text-guided tutorials. Step-by-step, you will construct a fully functional relational model and automate data transformation pipelines. This course is designed for beginners who want to move beyond basic spreadsheets. No prior experience with databases, SQL, or advanced programming is required. Start reading today to transform how you manage and analyze data in Excel.