Call Number | 13640 |
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Day & Time Location |
F 10:10am-12:40pm 301 Uris Hall |
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 10:04AM Wednesday, December 4, 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 | 20241STAT4291W001 |