Upon completion of the course, students will have acquired a thorough understanding of the theoretical foundations of multivariate analysis methods and the skills to analyze data.
Course program
- Linear regression model, fit and interpretation of the results.
- Multiple regression model, residuals analysis.
- Basic assumptions violation and possible solutions.
- Conjoint Analysis Factorial methods: Principal Component Analysis, Correspondence Analysis, Multiple Correspondence Analysis
- Cluster Analysis: hierarchical and non-hierarchical methods
