Data Analysis in Excel: Power Query, Power Pivot, and DAX

Managing and analyzing large datasets in Excel can feel overwhelming when relying on traditional formulas alone. This text-based course guides you through Excel's modern data engine to automate your data preparation and build sophisticated data models. You will transition from manual spreadsheet updates to automated workflows, learning how to connect to various data sources, clean messy files, establish relationships between tables, and write powerful DAX formulas for deep business insights. What you'll learn: Understand foundational data modeling concepts and relational database structures directly inside Excel; Extract and transform messy data from multiple sources using the Power Query editor; Create robust data models and establish relationships between different tables in Power Pivot; Write DAX (Data Analysis Expressions) formulas to calculate complex business metrics and KPIs; Build dynamic Pivot Tables and reports that update automatically when new data arrives; Apply modern best practices for structuring queries and optimizing model performance. The course begins with essential database definitions and terminology before walking you through step-by-step written tutorials on data extraction, transformation, modeling, and analysis. This program is designed for beginners, business analysts, and Excel users who want to upgrade their data skills without any prior database or programming experience. Start reading today to unlock the full analytical power of modern Excel.