About this course
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.
Learning outcomes
By the end of the course the student should be able to:
- Download and install the latest versions of R and Rstudio
- Know where to look for help when working in R
- Know how to import data into R
- Use R for basic analysis and presentation of data in their field
- Select statistical method and motivate the choice using a structured approach
- Communicate efficiently with a statistician about their choice of statistical method
Prerequisites for participation
No prerequisite courses, or equivalent, demanded for this course.
Necessary language skill
English
Interval at which Module/Course is offered
Spring and Autumn Semesters
Semester(s) in which the module takes place
Summer Semester
Course type
Lecture + Practical
Course level
Doctoral
Course start date
03 Mar 2025
Course end date
21 Mar 2025
Apply between
Application start date
15 Oct 2024
Application end date
05 Nov 2024
Involvement period
3 weeks
Organisational type
Distance learning with online lectures, quizzes and interaction with other students.
Teaching mode
Online
Workload in ECTS
3.0
Graded
Yes
Person in charge of module
Alen Lovric
Email address
alen.lovric@ki.se
Local module ID
H5F2953
Link to the course / Registration