Data Science and Statistical Modeling in R
SPH BS 845
Graduate Prerequisites: (SPHBS730) or consent of instructor. - This course covers applications of modern statistical methods using R, a free and open source statistical computing package with powerful yet intuitive graphic tools. R is under more active development for new methods than other packages. We will first review data manipulation and programming in R, then cover theory and applications in R for topics such as linear and smooth regressions, survival analysis, mixed effects model, tree based methods, multivariate analysis, boot strapping and permutation.
FALL 2024 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| A1 | Yang | INS 210 | F 10:00 am-12:50 pm | Seats in this class have been reserved for students in specific programs. The remainder of the seats are being held and offered to students on the waitlist. If you are unable to register for this class because you do not meet the reserved seats requirement, you can fill out an SPH Waitlist form to be added to the waitlist. |
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.
