This course is the perfect opportunity for you to gain practical skills in the rapidly growing field of machine learning. With 7.5 credits, this course covers the fundamental concepts and techniques of machine learning using the R programming language. By the end of the course, you will have a foundation in machine learning and be able to apply these skills to real-world problems. If you are interested in data-driven methods for predicting or decision-making, then this course is for you.
Machine learning with R, part 1, is running at 50% study pace and is given in English. After this course you can take the course Machine learning with R, part 2.
In order to read this course, you must have access to a computer to install and run R on.
The information below is only for exchange students
Starts
19 January 2026
Ends
23 March 2026
Study location
Varied
Language
English
Type of studies
Daytime,
50%,
Distance
Number of mandatory meetings
1
Number of other meetings
5
Outline for distance course
The course includes mandatory meetings in connection to examination. All these meetings are held in Zoom. Other, non-mandatory, meetings in connection to lectures etc are also held in Zoom. The number of meetings are preliminary and can be adjusted when booking the schedule.
Required Knowledge
7,5 ECTS in Statistics incl. Regression Analysis. Proficiency in English equivalent to Swedish upper secondary course English B/6
Selection
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
Application code
UMU-A2795
Application
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.
