Smart data analytics is giving real estate professionals and investors 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 use data science methods to identify and interpret patterns in order to analyze property 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.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Data Science in Real Estate are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)