IT Training
These training series are an introduction to the program language R with the purpose of getting familiar with the commands in such a way that participants will feel self-prepared to continue on their own. It is required that participants have taken at least one Statistics course at the graduate level. See Syllabus for more information.
Trainings:
| Module | Date | Time | |
|---|---|---|---|
| 1 | Introduction to R | Feb 20 | 9am-11am |
| 2 | Data preparation | Feb 27 | 9am-11am |
| 3 | Exploratory data analysis | Mar 12 | 9am-11am |
| 4 | Mean and the median comparison | Mar 19 | 2pm-4pm |
| 5 | ANOVA, correlation and bivariate linear regression | Mar 26 | 2pm-4pm |
| 6 | Multiple linear regression | April 2 | 9am-11am |
| 7 | Proportion comparison | Apr 9 | 9am-11am |
| 8 | Logistic regression | Apr 16 | 9am-11am |
| Location: HUB 221 | |||
Participants can register in any of the eight training modules. However, if you are a beginner, it is strongly recommended to attend the first three modules because the skills learned in these modules will be used in other modules. Participants who attend all training modules and submit all activities will receive a certificate.
R Programming Training Syllabus
Registration
Spring 2020 is full. We are registering for Summer 2020. If you register now, you will be in the waiting list for spring 2020. We strongly suggest to do so because there are always people who drop the course. Please register if you want to be in the waiting list. Participants in the waiting list who do not get into the spring course will have priority for the course in summer 2020.
Use the registration button above to register. The trainer will contact participants to confirm registration. Cohorts are capped at 36 participants.
2 hours for each training module
Need different dates? For consultation or to schedule an event, request training.
REQUEST TRAINING