MULTIVARIATE STATISTICAL ANALYSIS (DS3066)

This course is designed to extend the statistical analysis of environmental and social science data: it will highlight the building blocks of multivariate analysis from the definition of the research problem to the interpretation of the results. Both dependence methods (that is in which one or several variables can be expressed in terms of the others – for instance Multivariate Analysis of Variance or Discriminant Analysis) and interdependence methods (where all the variables are analysed simultaneously – for instance Factor & Cluster Analyses or Multidimensional Scaling) will be studied.
Significant applications will be analysed and discussed so as to develop new insights.
Projects (individual or with peers), will allow the students to apply the multivariate models, thereby enhancing the importance of work and knowledge sharing.
Statistical software package: SPSS.
Prerequisite: MA 1020

Code: 
DS3066
Name: 
MULTIVARIATE STATISTICAL ANALYSIS
Discipline: 
DS (Data Science)
Type: 
Regular
Level: 
Undergraduate
Credits: 
4
Can be taken twice for credit?: 
No
Pre-requisites: 
MA1020 OR MA1020CCM OR MA1020GE120
Co-requisites: 
None