BIG DATA METHODS FOR BUSINESS

Catalog description

This is an applied course that covers a wide range of big data analytics techniques relevant to economic and business applications. This course offers a hands-on experience with advanced tools to tackle real-world business and socio-economic challenges. Topics include: building machine learning models to solve issues ranging from income and social inequality to predicting whether a loan application will be risky; natural language processing to classify texts, analyze email communications, and investigate corporate fraud; time-series modeling to forecast stock prices and predict trends; and spatial data analysis for examining violent crimes and home foreclosures. PREREQ: ( ECON 245 OR STAT 342 ) AND ((COBE MAJOR: 2.50 CUMULATIVE GPA) OR (NON-COBE MAJOR/MINOR/COBE MINOR: 2.00 CUMULATIVE GPA))