Marketplace Data Analysis with Power BI and DAX

E-commerce and online marketplaces generate massive amounts of transactional data every day, but this data is only valuable if you can extract meaningful patterns from it. This text-based course guides you through the process of importing, cleaning, and modeling marketplace datasets to uncover sales trends, customer behavior, and product performance. You will learn how to build robust semantic models and write powerful DAX formulas to calculate key business metrics. What you'll learn: 1. Understand foundational data warehousing concepts and Power BI terminology. 2. Clean and shape messy marketplace transactional data using Power Query. 3. Design efficient star schema data models with proper table relationships. 4. Write dynamic DAX measures to calculate growth, run rates, and profit margins. 5. Implement time intelligence functions to track seasonal marketplace trends. 6. Apply modern data modeling best practices to optimize performance. You will start with the basic principles of data structures before moving step-by-step through data preparation, schema design, and analytical calculations. Each concept is reinforced with clear written explanations and practical database scenarios. This course is designed for aspiring data analysts, business professionals, and beginners who want to learn Power BI from scratch. No prior experience with data modeling or DAX is required. Start reading today to unlock the power of marketplace data analytics.