General information

The amount of data available is increasing dramatically. Your future career and Master's thesis will require you to handle and extract information from large quantities of data. We have designed this hands-on course to equip you to meet the data challenges ahead.

You will be introduced to concepts, terminology and methods relevant to handling data and spatial information in R. At the course end, you will have a toolbox of scripts to optimize data management procedures by looping through data and using vector-oriented iterative processes. You will work in R studio writing and debugging code for merging datasets, data cleaning and coding different types of variables, as well as overlaying spatial layers. We will use both base R as well as Tidyverse applications.

You will also be introduced to basic procedures for analysis. This includes tabulating basic statistical measures, specifying regression models and interpreting and visualizing results. Throughout the course, the focus will be on writing, adapting and implementing code in R scripts.

The course aims to develop students’ data management and analysis skills through hands-on group work. The last week of the course will be independent (unsupervised) group project work with empirical datasets.

The course mainly uses the free statistical software package R and briefly introduces the geographical information software Q-GIS.    

Don’t be a slave to the spreadsheet. Join our course and become part of an ever-increasing vibrant community using the object-oriented programming environment R as their playground.

Accommodation

Please note that the summer courses are non-residential. Participants are responsible for finding and funding accommodation during their stay in Copenhagen.

You can use different online portals to search for accommodation, such as:

Airbnb
Danhostel
Hostel World

Housing Foundation Copenhagen

Registration

https://kurser.ku.dk/course/NIFK24000U/2024-2025

ECTS accreditation

Master level

7,5 ECTS