Course information

Course title
An Introduction to Data Visualisation and Cluster Analysis (using R)
University / Organization
Radboud University
City
Nijmegen
Country
The Netherlands
Academic level
Both Msc and PhD
Language
English
School
Address
Course director
Course lecturer(s)
Charalampos (Charis) Chanialidis Lecturer Department School of Mathematics and Statistics University of Glasgow Glasgow, Scotland United Kingdom
Course aim
After this course you are able to: - read existing datasets into R, visualise them, and perform simple statistical analysis on them, - have an overview of the different clustering techniques which will enable you to make the right methodological choices, - apply these techniques and interpret their output (in the programming language R).
Course contents / programme
We’re currently living in the most data-rich period of human history. In this course, we will use data visualisation and clustering techniques to uncover any information or insight within the data.
Required Knowledge and preparation
Teaching methods
Assessment
Course type
Summer School
Consecutive days
Yes
Online course
No
Duration (net days)
5
Credits
2 ECTS credits
Course fee
€600, 10-25% early bird + partner discount if you apply before March 1, 2019.
Direct e-mail to register
Paper submission required?
Motivation letter (stating for what purpose and for what kind of research subject you think you will use clustering analysis techniques).
Logo of institution
front approval