Introduction to R

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

The goal of this course is to provide an accessible entry into the world of R, preparing participants to approach the most common analysis tasks using R, including data cleaning, exploratory data analysis and creating engaging visualizations.

Course leader

Akos Mate
Research Fellow
Department of Government and Public Policy
Centre for Social Sciences, Hungarian Academy of Science

Target group

-Master
-PhD
-Post-doc
-Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed as field agnostic, so both academic and industry researchers are welcome!

Course aim

After this course you are able to:

-Load and clean data in R
-Explore your data
-Create wide variety of data visualizations
-Export results from R

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)