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Machine Learning with R, part 1

  • Number of credits 7.5 credits
  • Level Bachelor's level
  • Study form Web-based (online)
  • Starting Autumn Term 2024

About the course

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.

Application and eligibility

Machine Learning with R, part 1, 7.5 credits

Visa tillfällen för föregående termin Autumn Term 2024 Det finns inga senare terminer för kursen

The information below is only for exchange students

Starts

1 November 2024

Ends

19 January 2025

Study location

Varied

Language

English

Type of studies

Daytime, 50%, Distance

Number of mandatory meetings

2

Number of other meetings

None

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-A2783

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.

Contact us

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

Contactpersons for the course are:
Study advisor, Department of Statistics, Umeå School of Business, Economics and Statistics