EduSinglePage
This course is offered as part of coursepackage:
Course content
The aim of the course is to enable the student to critically process collected data using graphical visualisation and various analytical methods, and to communicate results from collected data in a way that is easy to understand.
The course contains the following elements:
- organisation of data
- dimension reduction
- hidden patterns and clusters
- plotting techniques and mapping for visualisation of distributions, for relationships between variables, visualisation of categorical variables.
- data-based storytelling: influence, technique and ethics.
Entry requirements
- CD101A Imperative Programming (7.5 credits)
- CD102A Object-Oriented Programming (7.5 credits)
- CM152A Mathematical Statistics (7.5 credits)
- 3 credits in the course CM660E Mathematical Statistics for Data Science (7.5 credits)
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
