PropertyQuants: Applying Data Science and Machine Learning to Real Estate Course

PropertyQuants is offering a Masters' level course in applying data science and machine leanring to real estate. Instructors are PhD Data Scientists with decades of experience in quantitative investing. A version of this course was taught at a leading business school in Q1 2020.

This live online course features in-depth hands-on classes. The course runs for up to 11 weeks, depending on the modules taken.

What you will learn:

• Data Science Fundamentals (applicable to all industries) including Python, Pandas, and Scikit-Learn;
• Data Science Methods for Real Estate, including index construction, automated valuation, cluster analysis, and time series forecasting (ARIMA, VAR, VECM, and modern ML methods);
• The ability to utilise large datasets to determine fair transaction prices and forecast future returns;
• Geographic Information Systems (software for spatial location analysis and visualization).

You will complete an individual capstone project where participants can work on a dataset that is relevant to them. Optional 1-on-1 sessions and graded assignments are included. Participants to date have come from across real estate industry, investing, appraisals, proptech, and data science.

This course is relevant for:

• Anyone involved in real estate research aiming to use data and machine learning to produce game-changing insights and unlock the value of large datasets;
• Those looking to get into the rapidly growing proptech industry;
• Investors who want to use data-driven approaches to find exceptional opportunities and beat the market.

Learn more about the course, the instructors, and PropertyQuants at https://propertyquants.com/training/

The CRETECH community can enter CRETECH10 in the 'Notes' section when registering at https://propertyquants.com/training/ to get 10% off the course price.

Course sessions start at 8pm EDT, and dates below are quoted per EDT times. The course is open to participants globally.

[B1] Python Bootcamp - July 30 & 31

[B2] Pandas Bootcamp - August 6 & 7

[B3] Scikit-Learn Bootcamp - August 13 & 14

[1] Course Introduction & Web Harvesting - August 20

[2] Property Price Indices - August 27

[3] Automated Valuation Models - September 3

[G1] Geographic Information Systems I - September 10

[G2] Geographic Information Systems II - September 17

[4] Time Series Forecasting I - September 24

[5] Time Series Forecasting II - October 1

[6] Cluster Analysis - October 8

Project Presentations - October 22 through November 12

To learn more and sign up, visit https://propertyquants.com/training/