Data Analytics for Business and Sport

Catalog description

Data analytics-the art and science of using data to solve problems and make decisions-has become an important strategic tool across all industries and organizations. In this course, students will apply a variety of statistical methods to analyze existing data sets from business and sports, among other areas. The course will focus on practical, real-world applications of data analytics. Students will be introduced to data management and statistical programming using the R programming language and environment, although no prior experience with syntax or programming is needed. Topics may include multiple linear regression, logistic regression, mediation and moderation, advanced sports statistics, simulation, data visualization, and other ideas driven by student interest. Prerequisite: Grade C or higher in MATH 130, MATH 230, MGMT 230, PSYC 223, or SOCL 223