| Call Number | 14551 |
|---|---|
| Day & Time Location |
MW 4:10pm-5:25pm To be announced |
| Points | 4 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Casey Bradshaw |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course introduces core ideas in probability and statistics with a focus on building a foundation for data science. Topics include probability theory basics, common probability distributions, sampling and estimation, confidence intervals and hypothesis testing, and simple linear regression, resampling methods, smoothing techniques, and an introduction to the Bayesian inference. The course also offers a brief introduction to programming in R and Python. |
| Web Site | Vergil |
| Department | Statistics |
| Enrollment | 0 students (86 max) as of 9:05PM Thursday, April 9, 2026 |
| Subject | Statistics |
| Number | UN1010 |
| Section | 001 |
| Division | Interfaculty |
| Open To | Columbia College, Engineering:Undergraduate, General Studies, Professional Studies |
| Note | For DS minors. |
| Section key | 20263STAT1010W001 |