BANA 6710 - Predictive Modeling with Big Data

Addresses statistical approaches to the very large data sets increasingly common in business applications such as internet-based business, fraud detection, credit scoring and market segmentation. Topics include limitations of classical statistical when applied to large data sets, alternative approaches and applications. Emphasis is placed on proper choice of method, interpretation of the results and understanding of the strengths and limitations of the methods. Students are expected to analyze and report on a variety of data sets drawn from business application areas. Prereq: Grade of A- (3.7) in BUSN 6530 or BANA 6610. No CBK waivers of BUSN 6530 will be accepted. Max hours: 3 Credits. Semester Hours: 3 to 3