
Real estate professionals generate and work with large amounts of lease, tenancy, and property data, but turning that information into meaningful insights can be challenging. In this practical, beginner-friendly course, you will learn how to transform raw real estate data into interactive Power BI dashboards that support better decision-making.
Using a real-world tenancy schedule as the foundation, you will begin by extracting data from a property brochure and preparing it for analysis in Power Query. You'll learn essential data cleaning techniques, including standardising formats, handling missing values, and working with dates and currencies.
Next, you'll build a Power BI data model by creating relationships, calculated columns, and DAX measures. You'll explore key real estate metrics such as occupancy, rental income, and lease performance, gaining valuable insights into property operations.
Finally, you'll design and develop an interactive dashboard that allows users to analyse property performance through dynamic visualisations, filters, and KPIs. By the end of the course, you will have a complete real estate analytics workflow—from raw data to a professional Power BI report.
This course is ideal for real estate professionals, students, and aspiring analysts who want to develop practical Power BI skills using a real-world commercial real estate example. No prior Power BI experience is required.