To attend this course, participants must have:
It is imperative that participants are familiar with the way to carry out data handling/manipulation in their statistical software.
This 5-day training course presents the most popular multivariate data analysis methods. A multitude of multidimensional techniques exist and have been developed by several different fields of application: chemometrics, psychology, social sciences, sensory analysis,… The course begins with a brief presentation of multivariate techniques, their place among other statistical analysis methods and their historical development. Each of the following multivariates technique is presented in detail: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis. Throughout the training, emphasis will be placed on the purpose of each method, the advantages and disadvantages. Moreover, the type of data required for each method and the approach taken by each method will be outlined using examples from several fields of applications. In-depth explanation of the graphical software output is provided for each method to ensure a concrete understanding of how these methods work and what they can do. For each method, hands-on workshops are provided to give participants the opportunity to assimilate the tools learned using their own software and their own data. This ensures the direct application of these powerful multivariate methods to each individual research problem, enabling participants to extract the most knowledge from the training.
