Predicting Housing Prices with Data | A Quantitative Real Estate Analyst Explains the Models

Inside a big data analysis room filled with housing heatmaps, statistical models, and real-time market feeds, a quantitative real estate analyst explains how data—not guesswork—is used to predict housing prices.

By combining economics, statistics, and machine learning, he shows how professionals analyze millions of data points to understand trends, risks, and future price movements in real estate markets.

In this video, he explains:

What quantitative real estate analysis really is

The key data used to predict housing prices (rates, income, supply, demand)

How heatmaps reveal regional price pressure

The role of interest rates, demographics, and migration

Basic models used in housing price prediction

Why forecasts can fail—and how analysts manage uncertainty

How individuals can use data to make better property decisions

Analytical, visual, and grounded in evidence, this video helps viewers understand how modern real estate forecasting works in a data-driven world.

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