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R Crash Course (English)

20.04 um 9:00 bis 16:30

The R crash course is especially suited for participants of the data science certificate program.
It is aimed at participants who wish to learn the statistical software R and its syntax at a very basic level. In addition to the installation and operation of R, the practical application of simple statistical analyses on real data will be demonstrated and practiced. Please bring your own laptop with a current version of the free software R ( and RStudio ( installed (see also Remarks below).
All presented topics will be explained in detail, demonstrated and practiced with the help of exercises by the participants under intensive supervision.

The main topics of the course are:

  • Installation of R and additional packages.
  • Use of graphical user interfaces (GUIs) for R (e. g. R Studio).
  • Basics of R: Explanation of important data types, operators, functions and help pages.
  • Import and export of data into R (e.g. CSV, Excel, SPSS etc.).
  • Working with data sets (subsetting, editing and converting variables).


The course price already includes two lunches, coffee breaks, drinks and course materials.
Each participant receives a certificate of participation with the LMU seal.
Some of our courses take place at the Leopoldstrasse 30. For these courses we ask you to bring your own laptop with a current version of the free software R ( and RStudio ( If you do not have administration rights on your laptop (often the case in company laptops), you should also make sure that you can install R add-on packages on your laptop as well. If you have any questions, please feel free to contact us.
More details can be found on the registration page.

We will provide Internet access for all participants via BayernWLAN.



Giuseppe Casalicchio, M. Sc.


On all course days from 9.00 am to 16.30 pm


9:00 bis 16:30


Externe Weiterbildung der LMU München
Leopoldstr. 30
München, 80802


Bei Fragen zur Anmeldung kontaktieren Sie bitte die Externe Weiterbildung:
089 / 2180 – 72244
089 / 2180 – 3196