By popular demand, the Research Design and Analysis Unit offers online Introduction to R workshop this fall
The Research Design and Analysis Unit (RDA) is hosting an online "Introduction to Data Management and Statistical Analysis in R" workshop this fall semester. The Fall 2020 session will run in accordance with the academic calendar, starting on Sept. 1 and ending on Dec. 14 (13-week course). It is designed for any graduate students or postdoctoral scholars interested in discovering more about the open-source statistical software R, and more generally, statistical analyses/data management. Prior experience in R is not required and graduate students and postdocs from any department/discipline are eligible to participate.
The format of this workshop will be a combination of online demonstrations/lectures, hands-on activities, and an independent final project. A "certificate of completion" will be awarded to students who actively participate in the workshop activities (i.e., those students who complete weekly assignments/the final project and watch the weekly pre-recorded lectures/tutorials).
Participants can expect to:
- Learn the basics of R, such as importing and exporting data.
- Learn about R data structures and R packages.
- Learn strategies for data manipulation within R (compute, recode, selecting cases, etc.).
- Work through examples of how to conduct basic statistical analyses in R (descriptive, correlation, regression, T-test, ANOVA).
- Learn how to graph the results of basic statistical analyses in R.
This workshop will be facilitated by the RDA Unit's director and consultants. To support the infrastructure and staffing required to run this 13-week workshop, there is a $100 enrollment fee for graduate students and postdocs and a $150 enrollment fee for faculty. To reserve your spot in the workshop, please register using the secure portal. Space is limited to the first 75 who register and complete payment. If interested, we recommend registering as soon as possible since the workshop tends to fill up quickly.
For those who are unable to register for the fall session, please note this workshop will also be offered in the winter semester. Please complete this form to be given priority registration for the winter session.
If you have any additional questions about the course content, expectations, or registration procedure, please feel free to contact the instructional team at email@example.com.