This course covers data analysis
using statistical methods, e.g., descriptive and multivariate analyses.
Furthermore, the course covers the topics of correlation, sampling, estimation,
and hypotheses testing. The logic and key assumptions underpinning the multivariate
ordinary least squares regression model will be given together with more
advanced subjects such as the analysis of time series and panel data analysis.
The emphasis will be on achieving a smooth transition between theory, model
definition, and outcome presentation. It will illustrate several methods of
data analysis, presenting the findings of analyses (for example, visually,
using graphics, tables, and text), and understanding of their meaning. 
Participants will gain hands-on experience with the techniques discussed in
this course by applying them to various datasets using statistical software.