Business Analytics - Statistical Modelling

Catalog description

This course applies covers the development of statistical models that represent actual data and the use of these models to understand the important characteristics of that data. Statistical models including multiple regression, logistic regression, and time series models. The course will cover a process to build statistical models to represent actual data. This process teaches students how to select a statistical model for a given data set, how to estimate the parameters in that model, how to check to see if that model adequately fits the data, and when necessary how to modify that model. Students will gain model building experience by using R software on actual data. This course is taught in an abbreviated format to suit the needs of students who are working while in the program. Students will be able to apply the content learned in this course to their profession. Prerequisite: A statistics class that covers basic statistical methods through multiple regression.