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R Basics – Statistical Data Analysis – Online Course


06. August 2021 09:00 – 06. August 2021 17:00
07. August 2021 09:00 – 07. August 2021 17:00


R has become one of the most popular statistical programming language and data visualization environment in academia and beyond.
In this two day training, you will learn the basic usage of R enabling you to solve your own data analytics challenges.

Intended Learning Outcomes

  • You will understand the statistical programming workflow and basic syntax of R.
  • You will know how to read and process data sets.
  • You will be able to create visualizations from command line.
  • You will understand how to apply common statistical tests and models, such as t-test, regression and ANOVA, and interpret the results.
  • You will gain an overview on how to automatize your workflows and make your research reproducible.

Didactic Methods

Trainer input, hands-on tutorials, practical excersices


To participate in the online course, you need a PC/laptop with a current browser (recommended: Chrome or Firefox) as well as a headset (or speakers and a microphone), and a stable Internet connection. It is recommended to use a webcam during the course in order to promote interaction between participants and the trainer.

The course will take place remotely. Please install R and RStudio on your computer before the course begins.

Proficiency in English at the B2 level of competency is required.


August 6, 2021, 9 am–5 pm, and
August 7, 2021, 9 am–5 pm

Target Group

Doctoral candidates from all disciplines with little or no prior experience using R


Maximum number of 10 participants
Internal 50 EUR
External 150 EUR


At , deadline July 22, 2021
We kindly ask you to confirm your registration to make it binding. You may cancel your registration up to twelve days before the beginning of the course without providing specific reasons. Thereafter, you will be required to pay the attendance fee even if you do not attend the course.


Dr. Daniel Lee

Event Organizer

MArburg University Research Academy (MARA)
Doctoral Program for Life and Natural Sciences