Projects in R
Learning Outcomes
The course is part of the Public Health Sciences Course Program and lays the foundation for the subsequent courses Basic Biotatistics in R, Introduction to Epidemiology and Study Design, Diagnostic Test Evaluation, and Linear and Logistic Regression Modelling in R. Together, these five courses cover central skills of the theme Core Methods in the Public Health Course Program.
At the end of this course, participants shall be able to:
- Organize their research projects in R, RStudio and GitHub following the principles of open science and reproducible research
- Create reproducible reports based on the fundamentals of modern data visualization
Topics/Content
- Introduction to the programming language R
- Organize research projects in RStudio
- Prepare and visualize data using tidyverse
- Write reproducible reports using Markdown/Quarto
- Collaborate using GitHub
Activities / Program
Lectures in workshop style with interactive sessions. The learning outcomes will be assessed by publishing a reproducible report on GitHub.
Basic information
| Number | E046.213.25 |
|---|---|
| Dates | Wednesday, 02.04.2025 |
| Times | 09:00-17:00 |
| Course location | Institute of Social and Preventive Medicine ISPM room 320, third floor Situation plan |
| Lead | PD Christian Althaus |
| Seats max. | 30 people |
| Course language | English |
| Registration deadline | 19.03.2025 |
| Format | Individual event from Public Health Sciences Course Program You will receive a certificate of attendance. |
| Governing Unit |
Faculty of Medicine, University of Bern |
| ECTS info |
0.5 ECTS point will be credited for this course For an accreditation of the ECTS, a minimum of 80% attendance and active participation incl. completion of assignments and assessments are required.
root number KSL: 484083 |
Target audience
This course targets PhD students, postdocs, clinicians, and public health practitioners who would like to acquire skills in the topics.
Special
Students who are new to R and RStudio are expected to watch video tutorial “Introduction to R and RStudio" or similar introductory videos before the course start (links to recommended material will be provided three weeks before the course). Students have to bring their own laptops with a recently installed version of R, RStudio and GitHub. The course is offered once a year.
Application and admission procedure
A tertiary education degree is required. The program manager decides on the final admission. Priority is given to PhD students.
Application process: You are requested to enroll online. Seats will be allocated according to date of enrolment. Three weeks before the course/workshop at the latest, the administration will decide and inform about running or cancelling the course/workshop.
Costs
Amount still open
Administrative / Payment modalities
Registration fees are waived for PhD students of the University of Bern who commit to the whole course attendance. To avoid being invoiced, it is mandatory that you indicate your institute and the matriculation number upon registration for the course. Please note cancellation regulations below.
Course fees for other participant categories:
PostDocs Uni Bern CHF 50
Other participants Uni Bern CHF 150
Participants other academic institutions 300
Other participants CHF 420
Participants completing the entire PHS Course Program benefit from a reduction; overview course fees here.
Cancellation regulations
After the closing date for registrations, the organisers will decide whether the course can take place. The decision is based on the number of registrations.
Contact
University of Bern
Public Health Sciences Course Program
c/o Institute of Social and Preventive Medicine (ISPM)
Mittelstrasse 43
3012 Bern
Switzerland
Tel: +41 31 684 34 04