| Call Number | 11494 |
|---|---|
| Day & Time Location |
TR 4:10pm-5:25pm 524 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Christopher J Dolan |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course focuses on core statistical techniques that are necessary to excel in a career in data science or business analytics. We start the course with a deeper dive into the theory of statistical inference, and introduce the Bayesian approach, which is common in industry. Next we introduce a common suite of testing methods, with a special emphasis on the general linear model. We conclude the course with several advanced topics that are highly useful in industry. Emphasis will be placed on applications and examples from industry. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 21 students (50 max) as of 1:06PM Sunday, May 11, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4530 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20231IEOR4530E001 |