Training Sessions

An applied set of modules with focus on the most widely used multivariate methods and their applications in several fields of application. Learn about the principle of the methods, the data needed, and the information they provide.

Discover data visualisation tools, learn the principle underlying hypothesis testing and sample size calculations. Harness the power of design of Experiments “DOE” techniques to control variation and maximise data information.

An applied set of modules with focus on the most widely used multivariate methods and their applications in several fields of application. Learn about the principle of the methods, the data needed, and the information they provide.

Learn about preference mapping techniques to explore and understand consumer preferences. Applications dealing with segmentation and the identification of niche markets are discussed. Focus on pitfalls and good practices.

Understanding consumers and their preferences is crucial for competitive businesses. Learn about commonly used methods to analyse consumer test data, the way to interpret results and to communicate them with insightful graphical summaries.

Learn about indicators designed to capture the desirable attributes of descriptive data collected by a trained sensory panel (agreement, repeatability and discrimination power). A suite of statistical tools are used to depict and quantify the performance of the panel.

An applied set of modules with focus on the most widely used multivariate methods and their applications in sensory evaluation. Learn about the principle of the methods, the data needed, and the information they provide.

This module offers an easy introduction to R programming. Learn the basics of R programming and the commonly used plots and statistical tools without pain.