Introductory Statistics for Data Analysis

The course covers different descriptive methods in statistics, both graphical and numerical, for one or several variables. An introduction to regression is included, as well as theoretical aspects on data collection and the considerations involved when a random selection is required in order to generalise results in relation to a population, and to understand the statistical uncertainty involved. Students also discuss and problematise how the critical application of different statistical methods depends on the context, and how different types of software can be used for statistical purposes.

Progressive specialisation: G1N (has only upper‐secondary level entry requirements)

Education level: Undergraduate level

Admission requirements: General admission requirements and upper secondary level Mathematics 3b, 3c, or B, or equivalent

Selection: Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.

This course is included in the following programme

• Study Programme in IT-Design: Enterprise Systems and Economy (studied during year 2)
• Bachelor´s Programme in Information Systems with Business Perspectives (studied during year 2)