R Programming Training: An Introduction for Data Analysis and Graphics

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 DateTime
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.

Time Commitment

2 hours for each training module

 

Need different dates? For consultation or to schedule an event, request training.

REQUEST TRAINING

Register

Who's it for?

Faculty, Staff, TA / Grad Asst

Format

Classroom event

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