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R for Absolute Beginners

R for Absolute Beginners In-Person

About the winter school

As a new initiative, KUB Datalab has organised a so-called winter school. The aim is to give participants the opportunity to engage intensively with R for an entire week. You will therefore be able to tailor a programme that suits your specific needs and level of experience. Please note that you must register for each course individually.

In short, it is up to you whether you wish to register for one or more courses.

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About R

R is a general programming language, especially suited for statistical analysis and cleaning and visualization of data.

We assume absolutely no previous experience with programming, and will cover the basics of getting started with R, including:

  • Navigating in RStudio, and how to interact with R
  • Datatypes, variables and objects
  • Simple arithmetic and logical operations on data
  • Working with functions - and how to write a very simple function ourself
  • Import data into R
  • Summary statistics 
  • Manipulating data frames
  • And how to make a couple of the common graphs, that are as useful as they are elementary.

In preparation for the course, we recommend that you either download and install R and RStudio, or register for an account at rstudio.cloud. Instructions on this can be found here, where you will also find the course notes, additional material and exercises.

 

Related LibGuide: KUB Datalab by Christian Knudsen

Date:
26/01/2026
Time:
12:00 - 14:00
Time Zone:
Central European Time (change)
Location:
Library Lighthouse, Zone 1, Library Lighthouse, Zone 2
Campus:
KUB North Campus, Nørre Allé 49, 2200 København N
Audience:
  Level 1 - Beginner / Begynder  
Categories:
  Analysis     Cleaning     English     R     Datalab  

Registration is required. There are 32 seats available.

Event Organizer

Profile photo of Søren Davidsen
Søren Davidsen

Cand.mag.
Cand.scient.bibl.
Master i IT og læring

Specialkonsulent,
Københavns Universitetsbibliotek,
KUB Datalab

Profile photo of Christian Knudsen
Christian Knudsen

Cand.Polyt.

Specialkonsulent

Københavns Universitetsbibliotek, KUB Datalab