Business Analytics

Catalog description

SCIS 501 develops students¿ understanding of and ability to apply a variety of business analytic tools and techniques to describe data, make predictions, and prescribe optimal solutions. Students will explore some of the following topics: Data Visualization, Exploring Data with R, Regression simple and multiple, Logistic regression, Classification trees, Machine learning for regression (data adaptive), Deterministic optimization (linear, integer, nonlinear), Monte Carlo Simulation, Decision Analysis. These topics enable students to address issues in descriptive, predictive, and prescriptive business analytics. Students will learn how to bridge descriptive, predictive, prescriptive analytics across a variety of business scenarios. Software packages, concepts, and business applications will vary and evolve to keep pace with technology, theory, and instructor interest. This course is focused more on the methodological aspects of business analytics.