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 | First class meeting has occurred, instructor consent required to add prior to second class meeting |
SPRG 2025 Schedule
| Section | Instructor | Location | Schedule | Notes |
|---|---|---|---|---|
| A1 | Patil | INS 303 | F 10:00 am-12:50 pm | First class meeting has occurred, instructor consent required to add prior to second class meeting. If you obtain instructor consent, please submit a SPH Add/Drop Form with the instructor's written permission to the SPH Reg Office. |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.
