R is a free, open-source software for statistical computing and graphics. In this course, you will learn the programming techniques to make the most of this powerful tool for processing, analysing and presenting your data. You will analyse data by writing functions and scripts to get reproducible and well documented results. You will learn how to create excellent graphics and how to adapt them to your needs. We will use data from clinical background to work throughout the course.
Main topics covered during this course will be:
| Course language: | English |
| Duration: | 3 days during 3 weeks, always Wednesdays |
| Next Start: | 22 April 2026 |
| Workload and ECTS: | 30h and 1 ECTS |
The course is usually conducted 1 time a year in spring. In case of high demand, another course will be offered in autumn.
Course Dates Spring 2026
22 April 2026
29 April 2026
6 May 2026
During this course, a variety of teaching methods including lectures, exercises and interactive group discussions will be applied. Mandatory home assignments will complete the learning portfolio. Please bring your own notebook with an installation of R, available from www.r-project.org.
Workload, 30h, 3x1 day on-site training + assignments and homework
Certificate of attendance by the University of Basel, Continuing Education. 1 ECTS
To add this course to your academic record, please create a Learning Contract on MOnA, before the start day of the course and follow the instructions of your respective faculty.
Certificate of attendance will be issued after successful course completion.
This course is open for everyone who works with data and wants to learn how to use R. It is especially appropriate for clinical investigators and research personnel involved in the statistical analysis of clinical research projects.
PhD students of the GSMHS and of other PhD subjects of the Faculty of Medicine (Biomedical Engineering, Biomedical Ethics, Medicines Development, Nursing Science, Public Health/ Epidemiology or Sport Science) are eligible to register for the course.
Please note that this course focuses on programming in R. Basic statistical knowledge is required, for example "Reading and Writing Statistics in Clinical Publications".
Minimum 8 and maximum 16 participants.
CHF 1,500
Reduced course fee DKF research group members (for details see *)
*)The Department of Clinical Research (DKF) offers training grants for members of DKF research groups which result in a reduced fee of CHF 750. Please note, that training grants can only be offered to DKF clinical research group members, who are working at the group leaders’ local study center.
Limited free places available for (MD-)PhD Students of the GSMHS and of all (MD-)PhD subjects of the Medical Faculty of the University of Basel.
Cancellation of your registration is possible until 10 days before the course date. Cancellation thereafter or absence from the course will result in a cancelation fee of half the course fee.
The course fee includes course materials and provision during coffee/tea breaks.
Organiser
Department of Clinical Research, University of Basel, c/o University Hospital Basel
Directors of Studies
Deborah Vogt, PhD, Senior Statistician, Department of Clinical Research (DKF)
Andrea Wiencierz, PhD, Senior Statistician, Department of Clinical Research (DKF)
Mareike Gräter
Training and Education
Department Clinical Research (DKF), University of Basel
c/o University Hospital Basel
Spitalstrasse 8/12
CH-4031 Basel
mareike.graeter@clutterusb.ch
Tel. +41 61 556 59 76
Please register here.
Registration deadline is 1 April 2026
Medical Faculty, University of Basel
University of Basel
Steinengraben 22, 4056 Basel
Seminarräume Weiterbildung, Rooms 11 and 13, Ground floor right