Statistical data processing

Education facts

Code: 1ST917

Unlock the Power of Statistical Data Analysis and gain hands-on skills and the ability to implement essential statistical analyses using diverse software tools. The course focuses on the application of statistical methodology for analysis of data and is based on a number of smaller projects, each of which aims to provide the student with skills and ability to implement basic statistical analyses using different statistical software. Students will use visualization techniques to learn how to explore new data sets and determine the most appropriate approach. The course will also introduce robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using scripts to analyze data, you will learn the basics of conducting reproducible research. The projects in the course are carried out using the statistical software SAS and R, but other software such as Python, SPSS, Excel or Ox may also be used. This course will provide students with knowledge of several software products, which is a competitive advantage in today's job market.

Entry requirements

Statistics 15 credits (descriptive statistics, statistical inference, and regression analysis) or equivalent. English 6, or the equivalent.

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 data processing

  Linnaeus University (Kalmar Växjö)

  Start date: 31 August 2026

  End date: 4 October 2026

  Pace of study: 100 %