This lecture introduces multivariate statistics, focusing on uncovering associations between vector components. It covers major statistical methodologies, applications in risk management, copulas, dependence measures, hypothesis testing, and linear discriminant analysis. The course also explores graphical models and conditional distributions. The instructor emphasizes the importance of multivariate models and copulas in quantitative risk management.