Please note: These pages are under construction! That is a permanent condition, but at the moment they are under more construction than they will ever be.
The aim of KUB-Datalab is to teach students, teachers and researchers basic concepts, skills and tools for working with data so they can get more done in less time. And with less pain.
This is the next step after an introduction to R for complete beginners. We assume that you have some knowledge of R, equivalent to the material covered in our introductory course.
In this workshop we investigate a dataset together, and let our curiosity guide us in analysing and visualizing the data, using both elementary statistical methods and graphs.
Regardless of our curiosity the concepts covered on this site, will be covered.
Getting Started
Our teaching is hands-on, so participants are encouraged to use their own computers to ensure the proper setup of tools for an efficient workflow.
To get started, follow the directions in the “Setup” tab to download data to your computer and follow any installation instructions.
Prerequisites
We are going to assume that you have some familiarity with R and RStudio, equivalent to the topics covered in our introductory course, R for absolute beginners. We are going to use the datamanipulation tools from the tidyverse a lot - so please brush up on the pipe %>% if you have forgotten about it.