Learning

Applied Chemometrics for Complex Analytical Data

Descriptive Statistics and Probability → Integrated Chemometrics Workflow

This learning path equips students with the skills to apply chemometric methods—including PCA, PLS, clustering, experimental design, SIMCA, and spectral deconvolution—to complex analytical data sets. It builds from foundational statistics and data preprocessing through to advanced multivariate modeling and model validation, emphasizing practical application in analytical chemistry.