Introduction to Data Science for Real Estate Agents
Generic Category: Digital Fluency (2 CPD credits awarded, subject to KEO’s approval)
Course Duration: 3.0 hours
Course Synopsis:
This module covers the basic concepts used in the data science industry, including machine learning, statistical inference, working with data at scale, and much more.
We’ll start by showing the entire process for data science projects and the different roles and skills used. Then the basics of obtaining data through a variety of sources, including data aggregators and BI platforms. We’ll show you how to use tools to explore and manipulate data, as well as techniques for analysing the feasibility of data. We’ll be covering a variety of techniques for planning, performing, and presenting your ideas to help you get started in data science and make the most of the data that’s all around you.
Course Objective(s)
Develop your business as a real estate agent, as you explore the essential skills and principles of data science and how it enables your work as a real estate agent.
- What is Data Science
- Uses of Data Science
- Data Science in the Real Estate context
- Current capabilities in Real Estate
- How to use data insights to enhance your work as a real estate agent
ABOUT THE TRAINER
Shawn Lai
Shawn is a Business Development and Data Science Leader with comprehensive experience in Business Strategy, Business Intelligence, Solutions Architecture, Consulting and Advanced Analytics in industries relating to Government, Real Estate, Telco and IT sectors.
Over the course of his career, he has developed diverse professional experience in international settings across Canada, US, Singapore, Thailand, Malaysia, Myanmar and China. With notable expertise in VBA, SPSS, Base SAS, SQL, and working knowledge of R, Python, and Tableau.