Exponential growth in the availability of high quality real estate and real estate-related data is fueling a major shift in development, investment, and lending decision-making processes. In this highly applied course, students will be introduced to major data analysis and machine learning platforms; a wide range of public and private real estate and urban data sources; approaches to exploratory data analysis, real estate data visualization, and communication of findings; applied statistical modeling, including forecast modeling; and, emerging and prospective real estate applications for artificial intelligence and machine learning. Assessment will include case work focusing on real-world real estate decisions and coding assignments. While the data and applications for this course are principally in the real estate sector, the applied skills learned may be of interest for students across a wide range of industries.

Finance (Undergraduate)
3 credits – 12 Weeks