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Data Analytics with R, part 1

  • Number of credits 4.5 credits
  • Level Bachelor's level
  • Study form Web-based (online)
  • Starting Autumn Term 2023

About the course

Data Analytics with R is a 4.5 Credit course running at 25% study pace and is designed to introduce you to the fundamentals of data analytics using the powerful and popular programming language R. The course will cover topics such as exploratory data analysis (EDA), basic statistical analysis and data visualization, all using R. You will also learn how to apply the methods on real datasets, without previous experience in R or data analytics.

All course material is provided in English. Since the course is short and completely online, you can combine this course with your other studies or work.

Application and eligibility

Data Analytics with R, part 1, 4.5 credits

Det finns inga tidigare terminer för kursen Autumn Term 2023 Det finns inga senare terminer för kursen


31 October 2023


14 January 2024

Study location




Type of studies

Mixed, 25%, Distance

Number of mandatory meetings

No mandatory meetings.

Number of other meetings


Required Knowledge

At least 45 ECTS. Proficiency in English equivalent to Swedish upper secondary course English B/6).

Entry requirements


Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code



Application deadline was 17 April 2023. The application period is closed.

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 8,220

Total fee

SEK 8,220

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