Frameworks and quantitative methods used in predictive and prescriptive business analytics for decision-making with less risk and better outcomes. Practical applications with various analytical tools across a range of industries. Data integration; model formulation, implementation, solutions, and managerial insights. Prerequisite(s): Third-year standing, BUSI 3406 (with a grade of C or higher), and STAT 2602. Lecture two hours and lab two hours a week. [0.5 credits]
Frameworks and quantitative methods used in predictive and prescriptive business analytics for decision-making with less risk and better outcomes. Practical applications with various analytical tools across a range of industries. Data integration; model formulation, implementation, solutions, and managerial insights. Prerequisite(s): Third-year standing, BUSI 3406 (with a grade of C or higher), and STAT 2602. Lecture two hours and lab two hours a week. [0.5 credits]
