Statistical learning with regression models

Education facts

Code: MSG501

This course is very relevant for constructing regression models, to understand dependencies between variables and to quantify uncertainty. Its main topics are: - multiple regression, - diagnostics and hypothesis testing, - regression with categorical variables, interactions between covariates, - model selection and cross-validation, - generalized linear models.

Entry requirements

MSG100/MSG110 and MSG200 or other courses covering the material of these courses.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistical learning with regression models

  University of Gothenburg

  GÖTEBORG

  Start date: 5 November 2026

  End date: 17 January 2027

  Pace of study: 50 %