BA4420

This course introduces the basic elements of business analytics and how to analytically think about data and its role in business. The goal of the course is to provide students with the toolset and capabilities as they analyze data to ask the right questions that matter to businesses and help solve business problems. Topics include data preprocessing, exploratory data analysis (EDA), predictive analytics, modeling and model evaluation. The course is designed to trigger passion for analytics, develop data-analytic thinking demonstrate how analytics matter in different business domains, illustrate real-world examples in different business contexts while working hands-on using data analytics is as such an art as it is a science. Students enrolled in the 5420 version of the courses will have to fulfill an extra assignment/project to earn graduate credit.

pre-req: MIS 3220 AND ECON 3020 AND (LSBE candidate or non-LSBE student with a declared minor in Business Analytics). Credit will not be granted if already received for MIS 3241, MIS 4241, CIA 3760 or CIA 4761 or CIA 5761

011196

02863

Every Fall