Real Estate Data Analytics

Catalog description

In real estate investment, data is used in a variety of ways to inform decision-making. The purpose of this course is to gain familiarity with analytical tools and techniques as they relate to guiding investment in primary real estate markets and capital markets. Students will learn statistical methods, data manipulation, data visualization, and apply business analytics tools to data on properties, mortgages, and macroeconomic indicators. A series of guest speakers will demonstrate how analytics is used in the industry, and the strengths and limitations of using data to guide investment decisions. The course will use data analytics to connect economics and finance concepts with real-world applications. The course will primarily use the R software package, but relevant materials will be provided and no prior coding experience is necessary. REAL 3700 can be counted toward the Wharton Undergraduate Technology, Innovation and Analytics (TIA) requirement.