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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

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

Entry requirements

Selection

Academic credits

Application code

UMU-27818

Application

Application deadline was 15 April 2024. Please note: This second application round is intended only for EU/EEA/Swiss citizens. Submit a late application at Universityadmissions.se.

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 13,700

Total fee

SEK 13,700

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