- Martinez, W &, Martines, A: Exploratory Data Analysis with MATLAB, Chapman & Hall 2005.
- Reiche, N al at, Data-driven storytelling, CRC Press, 2018.
- Peng, Roger D. Exploratory Data Analysis with R, 2015
- Tukey, J W.Exploratory Data analysis, Addison-Wesley 1977
EduSinglePage
Course offered as a part of a programme
Course, master’s level
7.5 credits
Malmö | daytime | 50%
20 January 2025 - 30 March 2025
Code for the course: MA661E
About the course
The course aims to enable the student to critically process the collected data using graphic visualisation and various analytical methods, as well as communicate results from the collected data in an easily understandable way.
This course is offered as part of programme:
Course content
The course contains the following elements:
- organisation of data
- dimensionality 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
1. Bachelor of Science in computer science or related subjects.
2. At least 15 credits in programming.
3. At least 7.5 credits in mathematics.
4. Knowledge equivalent to English 6 at Swedish upper secondary level.
Course literature
Course evaluation
The University provides students who are taking or have completed a course with the opportunity to share their experiences of and opinions about the course in the form of a course evaluation that is arranged by the University. The University compiles the course evaluations and notifies the results and any decisions regarding actions brought about by the course evaluations. The results shall be kept available for the students. (HF 1:14).
