Course content
The course aims to prepare students to conduct quantitative data analysis. The focus is on the capacity to conduct independent analyses using different types of data material, to interpret their results, and to understand and evaluate the assumptions on which the analyses rest.
The course consists of lectures, workshops and exercises. The lectures will have a teacher driven review of a focused part of the theoretical course content. Students will be involved through brief peer-to-peer discussions and class discussions.
The workshops and exercises will focus on applying the methods from the curriculum and lectures to solve data analytical problems. In addition to a focus on understanding and interpreting statistical methods, a key element will be the introduction to the statistical software program R. Since the purpose of the exercises is to facilitate that the students apply the methods to real data problems, a high degree of student involvement is expected.
The exercise teacher will assist students in applying the methods and direct discussions and interpretations of results.
The problem sets in the exercise will to the extent that it is possible rely on data that is relevant to European Business.
Fulfilment of the learning objectives of the course will make the students able to evaluate an appropriately formulated research questions in for example a Bachelor's thesis using statistical methods.
See course description in course catalogue