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Linköping University
Time Series Analysis with Autoregressive Models
<p>Denna distanskurs ger dig praktiska och teoretiska kunskaper i att analysera och modellera tidsseriedata med autoregressiva metoder som AR, ARMA och ARIMA. Du lär dig att bearbeta data, välja rätt modell, göra prognoser och tolka resultat med hjälp av statistisk mjukvara. Kursen genomförs helt online via videoför…
- Higher education
- Information unavailable
- 17 August 2026
- Information unavailable
- Information unavailable
- 10 %
Overview
<p>Denna distanskurs ger dig praktiska och teoretiska kunskaper i att analysera och modellera tidsseriedata med autoregressiva metoder som AR, ARMA och ARIMA. Du lär dig att bearbeta data, välja rätt modell, göra prognoser och tolka resultat med hjälp av statistisk mjukvara. Kursen genomförs helt online via videoföreläsningar, seminarier och interaktiva övningar – flexibelt och tillgängligt för dig som vill stärka din kompetens inom dataanalys och statistik.</p>
Admission scores
Entry requirements
General entry requirements for undergraduate studies and Social Studies and English and Mathematics corresponding to the level in Swedish upper secondary education (Samhällskunskap 1b or 1a1 and 1a2 or Samhällskunskap nivå 1b or nivå 1a2, Engelska 6 or Engelska nivå 2 and Matematik 3b/3c or Matematik C or Matematik fortsättning nivå 1b or Matematik fortsättning nivå 1c). At least 7,5 ECTS credits passed in Statistics inc. multipel linear regression
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
- 2026-08-17
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.liu.732g95.46116.20262
- Last checked
- 2026-09-23T10:38:02.783888+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.liu.732g95.46116.20262
- Offering identity in the source
- e.uoh.liu.732g95.46116.20262
- Education-form source code
- HS
- Education code in the source
- 732G95
- Change time according to the source
- 2026-02-04T07:13:25
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.