Thanks to machine learning and data analytics, real estate professionals and investors can now make more accurate property assessments than ever before. This Data Science in Real Estate online short course from the MIT School of Architecture and Planning (MIT SA+P) focuses on growing your data science skills within the context of the built environment. During the program, esteemed MIT faculty and industry experts will teach you how to harness statistical techniques to reveal key insights into the factors that impact property investment and development opportunities.

Over six weeks, you’ll learn how to evaluate and tidy data, expand data sets, and generate a selection of models that can be used to explain industry trends and forecast real estate values.

This MIT SA+P program provides learners with the data science skills to support decision making and grow a successful property portfolio. Those with experience in data analytics will benefit by learning to apply their skills to the real estate market, while real estate professionals and independent investors can increase their competitive edge by building data skills to improve analysis and valuation, helping them to make better decisions.

While there are no formal prerequisites for this course, it’s highly recommended that you have a basic understanding of programming, in particular using R. You should be familiar with different data types and basic data structures, including objects, functions, vectors, matrices, data frames, and factors; and have used them practically in the past. If you don’t yet have an understanding of these concepts, you can explore the bridging resources made available in the course brochure.