Upon completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student should be able to
- explain the basic prinsiples of each step in the data science pipeline
- compare different approaches in each step of the data science pipeline
Skills
The student should be able to
- preprocess and manage real wolrd data sets
- analyze and visualize real-worl data sets
- successfully implement and deploy a data science project
General competence
The student should be able to
- discuss successful examples of how data science can be used in different contexts in society
- discuss ethical condiserations related to data science projects