Ecological Data Analysis with R (REcoStat)
This course aims at giving participants the tools to perform independent data analysis for projects in ecology, and to understand and critically debate statistical data analysis from published reports and scientific papers.

Course description
Content
The main tool used in the course is the scientific programming language R, which is the de facto standard for ecological data analysis. The format mixes lectures and discussions with group exercises, and the participants will work independently on data analysis projects.
After completion of the course, the participants are expected to be able to:
- Work independently to perform statistical analyses in ecology, including identifying scientific hypotheses and testing them statistically. This includes understanding the biological background and significance of different statistical tests and outcomes
- Critically debate and replicate published analyses
- Know how to learn new types of analysis in R and feel confident doing it
Recommended academic qualifications
The participants are assumed to have a basic knowledge of statistics corresponding to the introductory statistics course on the 1st year of the Biology BSc education at the University of Copenhagen. No previous experience with R or statistical software is assumed.
Place
- The University of Copenhagen
- Globe Institute
Contact
SCIENCE Student Services
Call (+45) 35 33 35 33 from 9.00-12:30 (closed Wednesdays)
Write to studentservices@science.ku.dk