| Call Number | 14034 |
|---|---|
| Day & Time Location |
F 10:10am-12:40pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Gabriel Young |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisites: STAT GU4205 and at least one statistics course numbered between GU4221 and GU4261. This is a course on getting the most out of data. The emphasis will be on hands-on experience, involving case studies with real data and using common statistical packages. The course covers, at a very high level, exploratory data analysis, model formulation, goodness of fit testing, and other standard and non-standard statistical procedures, including linear regression, analysis of variance, nonlinear regression, generalized linear models, survival analysis, time series analysis, and modern regression methods. Students will be expected to propose a data set of their choice for use as case study material. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 5 students (25 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Statistics |
| Number | GU4291 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies |
| Section key | 20251STAT4291W001 |