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Karlstad University
Statistical Learning with Applications in R
Content Students acquire knowledge of modern methods of statistical learning. Supervised methods of learning: \- regression methods \- classification methods \- support vector machine Unsupervised methods of learning: \- principal component analysis \- k-means clustering and hierarchical clustering R commands
- Higher education
- Information unavailable
- 18 January 2027
- Karlstad
- Information unavailable
- 50 %
Overview
Content Students acquire knowledge of modern methods of statistical learning. Supervised methods of learning: \- regression methods \- classification methods \- support vector machine Unsupervised methods of learning: \- principal component analysis \- k-means clustering and hierarchical clustering R commands
Admission scores
Entry requirements
Prerequisites 60 ECTS credits completed in Statistics
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.kau.stgc22.l8229.20271
- Last checked
- 2026-09-23T10:37:56.839657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.kau.stgc22.l8229.20271
- Offering identity in the source
- e.uoh.kau.stgc22.l8229.20271
- Education-form source code
- HS
- Education code in the source
- STGC22
- Change time according to the source
- 2026-09-15T14:28:20
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.