 | | DESC 378 | Statistical Models for Data Analysis | Credits: | 3.0 | Department: | DS and MIS | Program: | Undergraduate |
Prerequisite: COMM 215. This course introduces and examines the role of both classical and modern statistical methods in improving business processes. The methodologies selected for discussion represent those that are most extensively used in modern business research and analysis. The topics include modern statistical thinking, linear regression analysis, analysis of variance and other statistical techniques such as logistic regression, introduction to discriminant analysis, cluster analysis and their applications in mining large corporate data. Although the emphasis of the course is on real-life data analysis using statistical software packages, students will also obtain a good understanding of the relevant theory.
Students who have received credit for DESC 376 may not take this course for credit.
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