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 alternatives More 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) data More about this training »
Design of Experiments for formulations DOE for formulations like polymer blends, drugs, paints and cosmetics More about this training »
Spectroscopic Calibration Spectroscopic regression models as an alternative to lab analyses More about this training »
Design of Experiments – Custom Design Categorical variables and optimal designs More about this training »
Statistical Quality Control (SQC) Statistics-based process monitoring and control: standard and novel approaches. More about this training »
