The course introduces business analytics to students from diverse academic backgrounds. Students are introduced to R programming for statistical analysis. Topics include regression analysis, hypothesis testing, market segmentation analysis, perceptual mapping, consumer choice models, conjoint analysis, and sales and promotion analytics. Emphasis is given on the applications of relevant concepts and interpretation of results rather than theoretical aspects. Credit hours: 4. Prerequisites: ECON 2227 or MATH 2227 (or an equivalent statistics course); or permission of instructor.
- Teacher: Nasim Malekshah