Real Estate Market Analysis with Spreadsheet Data

How do real estate professionals and urban planners predict housing market trends and evaluate apartment developments? The answer lies in the data. Understanding how to organize, clean, and analyze historical market data is a fundamental skill for anyone looking to enter the fields of real estate economics or urban planning. This course teaches you how to perform practical time series analysis on housing market data using standard spreadsheet tools. You will start with the fundamental concepts of real estate economics, learning how supply, demand, and vacancy rates interact. From there, you will transition into working with real-world data points, learning how to structure spreadsheets to uncover trends, calculate growth rates, and model market cycles. What you'll learn: - Understand the core economic principles of urban housing and apartment markets - Clean and format raw time series data for professional analysis - Calculate key real estate metrics including absorption rates, vacancy trends, and rent growth - Apply spreadsheet formulas to analyze historical market cycles and seasonal fluctuations - Structure clean, professional data models to support investment or planning decisions - Interpret analytical results to draft clear, data-backed market reports We begin with essential real estate terminology and spreadsheet setup, ensuring you have a solid foundation before moving into formulas and data analysis. You will work through structured written exercises that simulate real-world market analysis scenarios. This course is designed for beginners, aspiring real estate analysts, and urban planning students. No prior experience in real estate economics or advanced statistics is required. Start building your real estate data analysis skills today.