Power BI Data Modeling and Security Fundamentals

Creating insightful reports in Power BI is only half the battle; ensuring your data is structured correctly and accessible only to the right people is critical for any organization. This comprehensive text-based course guides you through the essential concepts of data modeling and security configuration. You will transition from simply importing data to designing efficient relational models and implementing robust security frameworks. By studying clear written explanations and structured examples, you will learn how to establish relationships, write fundamental DAX measures, and enforce row-level security to protect sensitive financial and operational metrics. What you'll learn: 1. Understand foundational data modeling concepts, including schemas, relationships, and cardinality. 2. Configure active and inactive relationships to manage complex data pathways. 3. Write basic DAX formulas to calculate key business and financial metrics. 4. Implement Row-Level Security (RLS) to restrict data access based on user roles. 5. Manage workspace permissions and secure distribution channels for report sharing. 6. Apply modern sensitivity labels and data governance best practices to maintain compliance. You will start with the core terminology of data structures before moving step-by-step through relationship building, DAX calculations, and security configurations. Through clear written explanations and practical scenario-based exercises, you will learn how to secure business data from end to end. This course is designed for beginners, business analysts, and aspiring data professionals who want to master data modeling and security in Power BI. No prior data modeling or security experience is required. Start reading today to build secure, professional-grade Power BI models that organizations can trust.