Power BI DAX: Time Intelligence for Semantic Models

Analyzing business performance requires comparing data across days, months, quarters, and years. Without the right formulas, calculating year-over-year growth or running totals in Power BI can feel incredibly complex. This text-based course guides you through the foundational concepts of Data Analysis Expressions (DAX) time intelligence, teaching you how to set up proper date tables and write clean, efficient formulas to unlock deep historical insights from your semantic models. What you'll learn: - Understand the essential prerequisites for time intelligence, including how to configure a proper date table. - Calculate year-to-date (YTD), quarter-to-date (QTD), and month-to-date (MTD) metrics using standard DAX functions. - Compare performance across different periods, such as year-over-year (YoY) and month-over-month (MoM) growth. - Apply advanced period-shifting functions like DATEADD and PARALLELPERIOD for custom time-frame analysis. - Write clean, modern DAX code using variables to improve formula readability and execution performance. You will start with the core concepts of calendar tables and relationship validation before progressing through step-by-step formula breakdowns. Through clear, written explanations and practical calculation scenarios, you will learn how to handle real-world reporting requirements. This course is designed for beginner data analysts and Power BI users who want to transition from basic calculations to advanced time-based reporting. No prior advanced programming experience is required. Start reading today to transform how you analyze time-based data in Power BI.