Course description
Do you need to turn data into a publication figure? We offer tools and confidence for the student to independently select a statistical method for research questions in their field. The course is practical and includes implementing a basic statistical analysis in R, the leading statistical programming language in bioinformatics and medical science. Furthermore, we give a brief introduction to visualization in R, with a focus on R/ggplot2. Students can bring data from their own research project, or work on data from the course.
No prior experience with R is required, but basic knowledge of statistics and data analysis is recommended.
Prerequisites and Selection
Prerequisite courses, or equivalent
No prerequisite courses, or equivalent, demanded for this course.
Selection
Selection will be based on:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation).
2) start date of doctoral studies (priority given to earlier start date).
Course director
Alen Lovric
Course syllabus
H5F2953
Department
Department of Laboratory Medicine
Doctoral programme
**Not within a doctoral programme
Type of course
Statistics Software
Keywords
R programme, data analysis, visualisation