Pro­gram­ming and Data Ana­lys­is for Busi­ness

Course content

Starting from scratch, the students will after the course have the basis for working with simple data analysis and programming, using the programming language R. It does so by introducing the students to 1. Basic principles in programming 2. Visualization and data wrangling, and 3. Data modelling using both basic statistical methods as well as simple machine learning methods.

In the exercise classes, there will be differentiated options for the students with a main focus on helping absolute beginners to get started on programming and computational thinking. In the end of the course, there will be extra time for supervision of the individual exam project by the instructors.

The course can be used as a basis for more advanced courses, where programming, mathematical modelling, and data handling is increasingly important, for instance finance, economy, information systems, communications, politics, etc. The course can also be used as a basis for more advanced courses on data science models or it-systems.

As part of the programming, AI-based large language models are introduced to generate code snippets as well as a reflection on their usage.