Machine Learning Linear and non-linear methods to develop predictive calibration and classification models.More about this training »
Statistics in Practice Backing up decisions by means of classical statistical tools and modern alternativesMore about this training »
Design of Experiments (DOE-I) DoE for chemical and related industries - Efficiently developing processes and products; exploration and optimization.More about this training »
Multivariate Data Analysis Acquiring information and insights by analyzing large amounts of (non-designed) dataMore about this training »
Design of Experiments for formulations DOE for formulations like polymer blends, drugs, paints and cosmeticsMore about this training »
Spectroscopic Calibration Spectroscopic regression models as an alternative to lab analysesMore about this training »
Design of Experiments – Custom Design Categorical variables and optimal designsMore about this training »
Statistical Quality Control (SQC) Statistics-based process monitoring and control: standard and novel approaches.More about this training »
