Workshop/Seminar am

Veranstaltungsort: Online

In this two-day workshop participants will learn to master the fundamentals of the statistical programming environment R.

07.05.2021 | 09:00 - 17:00
08.05.2021 | 09:00 - 17:00
The workshop "Data Science with R: Intermediate" will take place on 14 and 15 May 2021. To the date


Dr. Thomas Köntges

Target Group
Doctoral researchers and postdocs who wish to build on their first experience with the programming language R

Number of Participants

Course Description
In this course participants will learn the basics of the R programming language, with a particular focus on using R for handling, visualising and analysing research data. This course will also highlight strategies for developing an efficient workflow centred around R and making use of RStudio as a helpful graphical user interface. After the completion of this course, each participant should be able to import data with R, navigate and manipulate data tables and represent data graphically. Additionally, participants will learn to organise their projects in a way that facilitates reproducibility.  This course does not intend to cover in-depth statistical theory. If you are unsure whether this course is at the right level for you, there is a self-evaluation test available at

Notes for workshop participants: R (>4.0) and RStudio will need to be installed prior to the course; a second screen has been recommend by past participants 

1 Credit Point can be obtained by attending this course. Please contact your faculty for the recognition of performance for the doctoral degree.

This workshop is already fully booked. Registration is no longer possible.

  • Thomas Köntges
    is an RStudio-certified instructor and the founder of You Say Data, a New Zealand-based digital upskilling and data analysis company. He holds an award-winning PhD from Otago University and has gained extensive experience applying computational methods to historic languages and cultural heritage data while at the University of Leipzig, where he was a lecturer in the Faculty for Computer Science for six years. He has also held positions, residencies, and fellowships at Victoria University Wellington, Perseus Digital Library, and Harvard University’s Center for Hellenic Studies. He is a passionate educator and engaging public speaker and one of his main teaching aims is to enable a diverse range of people to employ R and data science methods confidently in their own domain, and so he has been teaching R to researchers in the natural and social sciences, humanities, and business for several years.