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Free | Real Estate Data Analytics in Power BI
New
9 students

Free | Real Estate Data Analytics in Power BI

Learn Cleaning, Data Modelling, Dashboard Design for Real Estate Analytics
Last updated 7/2026
English

What you'll learn

  • Extract and transform real estate tenancy data from PDF documents into a structured, analysis-ready dataset using Excel and Power Query.
  • Clean and prepare property and lease data by standardising formats, handling missing values, and correcting currency and date fields.
  • Build a robust Power BI data model using relationships, calculated columns, and DAX measures to analyse occupancy, rental income, and lease performance.
  • Design, create, and publish an interactive real estate dashboard in Power BI, enabling users to explore key metrics through visualisations and dynamic reports.

Course content

3 sections15 lectures1h 14m total length
  • Introduction1:43
  • Cleaning and Transforming Real Estate Data in Power Query20:25
  • Results and Next Steps0:27
  • Summary0:32

Requirements

  • No previous experience required. This is a beginner-level course,

Description

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.

Who this course is for:

  • Real estate professionals looking to develop practical data analysis and reporting skills.
  • Property managers, asset managers, and analysts who want to visualise lease and tenancy data in Power BI.
  • Students and graduates interested in real estate analytics and business intelligence.
  • Anyone new to Power BI who wants to learn through a real-world commercial real estate case study.