Data Science in Real Estate

May 27, 2021, 12:00 - 1:00 PM

Have you ever wondered what is happening with data in real estate and where this is taking the industry? We are pleased to offer this webinar which will talk about how data is being used to automatically value properties, communicate hidden trends and insights, and make recommendations to decision makers. We will then talk about how policy makers are using data and where they go with policies depending on the data they receive. Is that data all in one place and easy to get to?

Join us to hear Nolan Derby, Data Scientist of BC Assessment and Keith Stewart, Economist of the Real Estate Board of Greater Vancouver discuss what is happening with all this data.

Keith Stewart

Keith Stewart

Keith Stewart is the Real Estate Board of Greater Vancouver's (REBGV) Economist. He researches and provides commentary on urban and housing economics. Prior to joining REBGV, Keith held positions with the Canada Mortgage and Housing Corporation (CMHC), the BC Finance Ministry and the Bank of Canada. He has a Masters in Economics and numerous designations related to financial risk management, data analysis, forecasting, predictive modeling and more.


Nolan Derby

Nolan Derby

Nolan Derby is a Data Scientist at BC Assessment. In the past 5 years at BC Assessment, he has worked with data science teams to implement automated modelling solutions to help Appraisers value over 1.1 million Single Family Residential properties and more than 500,000 Strata Residential properties across the province. He has also worked with teammates at BC Assessment to help develop their data science skills, and incorporate their business knowledge and Appraisal expertise into data science models.

Nolan presented on successful data science applications at BC Assessment at the International Association of Assessing Officers (IAAO) Annual Conference in 2019, and his data science work was presented at the Canadian Directors of Assessment Conference in 2017.

Registration will close on May 26th at 4:00 p.m. and the link will be sent out after registration closes.


Member FREERegister now
This registration type is restricted to members.
Non-Member $34.99Register now