BSAN 415. Data Analysis and Forecasting. 3 Hours.
This course is concerned with the analysis and interpretation of data encountered in business and economics. The course gives students experience in data analysis that can be usefully applied in a wide variety of real life situations and hands on experience in using statistics programs, such as R, to analyze various types of data. Topics covered may include multiple regression, logistic regression, ARIMA time series models, classification methods, forecasting, building statistical models, and model validation. Not open to students with credit in SCM 415. Prerequisite: DSCI 302 and SCM 310 or SCM 311. Enrollment restricted. LEC.