Foundations of Power BI: DAX and Data Modeling

Organizations rely on clear, accurate data to make critical business decisions. Understanding how to structure this data and extract meaningful metrics is a highly sought-after skill for any aspiring data analyst. This text-based course guides you through the fundamental principles of data modeling and the DAX expression language in Power BI. You will start with core terminology and basic concepts before progressing to structuring semantic models, writing calculated columns, and developing measures for corporate reporting. We also cover modern best practices, including performance optimization basics and working with dynamic formatting strings to keep your skills current. What you'll learn: • Understand the core terminology of relational data modeling and business intelligence. • Build robust data models using star schema principles for efficient reporting. • Write essential DAX formulas, including CALCULATE and time intelligence functions. • Apply modern DAX patterns and dynamic formatting to enhance analytical capabilities. • Design logical structures for corporate reports that answer real business questions. • Practice performance optimization basics to keep your semantic models running smoothly. The curriculum flows logically from foundational definitions to practical, written exercises in data transformation and formula creation. You will read step-by-step explanations and code snippets that build your analytical skills progressively. This course is designed for beginners and aspiring BI analysts with no prior experience in Power BI or data modeling required. Start reading today to build the foundational skills needed for professional data analysis.