Statistical Learning for Big Data

Education facts

Code: MSA220

The course should give understanding of and training in techniques for statistical analysis of large data sets.

Entry requirements

The prerequisites for the course are a basic course in statistical inference and MSG500 Linear Statistical Models.

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 for Big Data

  University of Gothenburg

  GÖTEBORG

  Start date: 30 March 2027

  End date: 6 June 2027

  Pace of study: 50 %