Basic Chemometrics and a little Machine Learning

Background

Chemometrics (or multivariate data analysis) may be used to solve problems involving large amounts of data. This is relevant within fields such as development, research, process monitoring and control, and laboratory analysis. In these fields, the use of single variables is often inadequate to describe, differentiate or classify objects/samples. Looking at more variables at a time ensures that interactions, patterns and correlations are taken into consideration. Combined with superior data visualization, chemometrics is a needed tool for proper data analysis.

As participant you will be introduced to the multivariate way of thinking and learn how to explore your data properly and how to set up a multivariate calibration/regression model. The course is a mixture of lectures and exercises. In the exercises, you will use the chemometrics tools. You will learn to navigate through the raw data, develop models and visualize the models. During this course you will not be able to work with your own data.