This course is the introductory course for the Master of Science in Enterprise Analytics. Students will become familiar with an overview and framework for understanding business analytics principles. Students will also be introduced to the theories, strategies, tools, and applied statistical techniques necessary to master the implementation of enterprise analytics to gain competitive advantage. The course will focus on applying predictive analytics methods, processes, and best practices to common problems faced by organizations. Students will acquire knowledge of the tools, techniques, and processes needed to effectively employ enterprise analytics applications such as statistical modeling, machine learning, artificial intelligence, linear/non-linear programming, optimization, and root cause analysis.
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN: