| Call Number | 14522 |
|---|---|
| Day & Time Location |
TR 5:40pm-6:55pm 142 Uris Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructors | Abigail R Greenleaf Margaret A Wiggin Marlyn M Delva |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course, which has no pre-requisites, teaches students about data science and public health. Students will create and answer public health research questions related to health equity in NYC. The course will use publicly available NYC health data to learn the seven steps of data science: 1) writing a research question; 2) obtaining data to address the question; 3) data cleaning; 4) data exploration; (5) analysis; 6) replication and validity evaluation; and (7) presentation and summary. The course will introduce students to R. |
| Web Site | Vergil |
| Department | Columbia College |
| Enrollment | 57 students (100 max) as of 12:20AM Thursday, November 21, 2024 |
| Subject | Public Health (PUBH) |
| Number | UN3400 |
| Section | 001 |
| Division | School of Public Health |
| Section key | 20243PUBH3400C001 |