Data Science in Real Estate Online Short Course

Course Overview

Smart data analytics is giving real estate professionals and investors in the real estate industry more insight into the factors impacting property value than ever before. From assessing risks to analyzing evolving trends, we’re now able to anticipate the success of a property more accurately thanks to the abundance of information available to us.

The MIT School of Architecture and Planning (MIT SA+P) Data Science in Real Estate online short course is the only class of its kind, and is designed to give you the foundational tools to predict and explain property performance. The program introduces you to the application of machine learning in the built environment while teaching you to apply data science methods to identify and interpret patterns in order to analyze real estate performance, risks, and opportunities. You’ll also learn about the growing number of data resources used by real estate practitioners, which have been borrowed from a range of other sectors across the economy.

Led by director of the Real Estate Innovation Lab and Head of Research for DesignX Dr. Andrea Chegut, you’ll explore over the course of six weeks what it means to be a good data scientist from both a technical and ethical perspective as you gain the practical data analysis skills to make informed, data-driven investment decisions.

What You’ll Learn in This Data Science in Real Estate Course

This online program integrates rich, interactive media such as videos, infographics, and e-learning activities, as well as didactic components such as downloadable course notes. There are also opportunities for collaborative learning through discussion forums. The following modules contribute to the holistic approach your learning path takes:

ORIENTATION MODULE
WELCOME TO YOUR ONLINE CAMPUS
ONE WEEK

You’ll be welcomed to the course and begin connecting with fellow participants, while exploring the navigation and tools of your Online Campus.

Be alerted to key milestones in the learning path, and review how your results will be calculated and distributed. You’ll be required to complete a participant profile, confirm your certificate delivery address, and submit a digital copy of your passport/identity document.


MODULE 1
DATA SCIENCE AND MACHINE LEARNING PRINCIPLES
Understanding data science and machine learning concepts used in the built environment.


MODULE 2
USING REAL ESTATE DATA
Learn how to prepare real-world data for analysis.


MODULE 3
INITIAL INSIGHTS USING STATISTICS

Understand the value of quantifying and detecting patterns in data.


MODULE 4
USING DATA SCIENCE TO ASK QUESTIONS

Discover relationships in data to explain and predict real estate data features and outcomes.


MODULE 5
RELATIONSHIPS IN REAL ESTATE DATA

Understand relationships between outcomes and features using regression analysis.


MODULE 6
FORECASTING IN REAL ESTATE

Discover how to use machine learning to forecast outcomes and support decision-making in real estate.

Course Outline

Each module is released weekly, allowing a flexible but structured approach to learning. You’ll be supported as you engage in individual activities and group discussions, ensuring you feel confident to submit your best work at each weekly deadline.

On completing this course, you’ll understand how data science techniques can be practically applied to extract meaningful insights, and how these insights can support a holistic assessment of the potential of real estate
investments or development ventures.

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