Course information

Course title
An Introduction to Data Visualisation and Cluster Analysis (using R)
University / Organization
Radboud University
City
Nijmegen
Country
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
This course, in particular, introduces numerous different learning techniques that can assist in this process. The issue with many more advanced, complex techniques (including some in this course) is that while they can uncover hidden, intricate relationships and evidence, many of them have problems when the data involved are big. Data can be “big” in three different ways: • many observations, • many variables, • both!
Required Knowledge and preparation
Teaching methods
Assessment
Course type
Summer School
Consecutive days
Yes
Online course
No
Duration (net days)
5
Credits
2 ECTS
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