Keywords: Data Science, Machine Learning, Real Estate, AI, Big Data, Data Strategy, Proptech, real estate technology, Property Price Indices, Automated Valuation Models, Time Series Forecasting, Cluster Analysis, Geospatial Analysis, Hedonic Regression, Repeat Sales, Python, Pandas, Scikit-Learn, PropertyQuants, Unissu.

-----
[Originally broadcast Jan 7, 2021]
Speaker: Nelson Lau, PhD, CFA - CEO of PropertyQuants
Conference: Unissu RE:Connect

49% of participants in the KPMG PropTech Survey picked AI, big data, and data analysis as the technologies with the biggest long-term impact on the real estate industry.

The survey also shows real estate professionals today face challenges figuring out how to actually utilize data.

So, how exactly can we apply data science to real estate? What are the tangible benefits? And, where can we learn the skills and techniques that will allow us to harness the potential of big data in real estate?
-----

PropertyQuants conducts an 11-week Master's-level hands-on in-depth course on "Applying Data Science & Machine Learning to Real Estate". To learn more, visit: https://propertyquants.com/training/

PropertyQuants also runs a 2x half-day non-technical seminar "Introduction to Data Science & Machine Learning for Real Estate". For more information: https://propertyquants.com/seminar