STQM 645 - Decision Making w/Data Analyti

This course is designed as an empirical approach to the emerging field of analytics, an inductive approach to gaining insights on big data, thus informing decision-making. It covers various fundamental techniques rooted in management and decision sciences to solve problems and make decisions in various functional areas, such as: management, marketing, and processing. In this course, students will learn various analytical tools and demonstrate their ability to understand, present and discuss the results, thus building a strong foundation in supporting decision-making in a variety of scenarios. Major topics include the applications of hypotheses testing; regression; decision trees; association rules; data visualization and manipulation; and what-if analysis. Typically offered: Fall, Spring, Summer
Level: GR
Credit Hours: 3

Ferris Equivalencies: STQM-646-201301

Department: MKTG