Data Modelling Essentials

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master the foundational principles of data modeling with this practical course focused on building structured and efficient models in Power BI. From transforming raw data to creating robust relationships between facts and dimension tables, this course will guide you through the critical steps of building a strong data model. Learn how to clean, transform, and organize data into formats ready for analysis, ensuring high-quality reporting and insightful visualizations. As you progress, you’ll explore key concepts like creating dimension tables, enriching your data with external sources, and finalizing your model for seamless reporting. The course starts with an introduction to the facts table and how to clean and structure data for analysis. You’ll then dive deeper into creating various dimension tables and linking them to your facts table to build a more comprehensive model. The course also covers advanced topics like data enrichment, including currency conversion, and finalizing your model to be report-ready. By the end of the course, you’ll be equipped with the knowledge to transform your data into powerful models that can drive business insights. Designed for those with basic data handling knowledge, this course will help you develop a solid understanding of data modeling techniques that will lay the groundwork for effective reporting in Power BI. With step-by-step guidance and real-world case studies, you’ll become proficient in building structured data models for any type of business analysis. By the end of the course, you will be able to efficiently clean, model, and structure data in Power BI, create key dimension tables, establish strong relationships between data, and enrich your model for enhanced analysis and reporting.