An intermediate course in business analytics for students who have completed a statistics course. Develops data management, programming, and analytical skills to guide business decision-making. May cover tools such as Python, R, Julia, and Tableau and topics such as LASSO, random forests, and spreadsheet models. Prerequisites: A statistics course (choose from: MATH 141 or PSY 214 or ECON 350 or BIO 375) and BUS 110 or consent of the instructor.
| Distribution Area | Prerequisites | Credits |
|---|---|---|
| Science and Mathematics | A statistics course (choose from: MATH 141 or PSY 214 or ECON 350 or BIO 375) and BUS 110 or consent of the instructor. | 1 course |
Fall Semester information
Amy Eremionkhale210A: Business Analytics II
Amy Eremionkhale
210B: Business Analytics II
Spring Semester information
Amy Eremionkhale210A: Business Analytics II
Amy Eremionkhale