Learning

Chemometric Analysis of Complex Environmental Data

Basic Statistics for Chemometrics → Case Studies in Environmental Chemometrics

This learning path equips analytical chemistry graduate students with the skills to apply chemometric methods—PCA, PLS, pattern recognition, and multivariate calibration—to complex environmental datasets. Starting from foundational statistics and analytical chemistry, it progresses through data preprocessing, exploratory analysis, and advanced modeling, culminating in practical applications and validation.