Areas of Competence: Knowledge and Understanding; Use, application and generation of knowledge; Communication and cooperation; Scientific self-understanding / professionalism.
Students know
- the foundations of the programming language Python
- standard workflow and corresponding programming processes in data science projects
- tools and practices that ensure reproducibility of results and reusability of code
Students are able to
- acquire, process, clean, analyse and visualize data
- prepare data for downstream data science tasks
- document and present their results and approach
Students are able to
- communicate approach and results to technical and non-technical audiences
- work in teams on programming tasks using version control systems
- give and receive critique in a professional manner
Students are able to
- leverage relevant literature
- give and accept professional feedback