Training Choose your course among the six categories. Benefit from a balanced combination of methodology and PC exercises. Data Visualization and Analysis Data Visualization and Analysis Basic statistics for the lab: histogram, boxplot, distributions, confidence intervals, tests, variance analysis, regression, etc. Also for method validation. Quality Assurance and Process Optimization Quality Assurance and Process Optimization Industrial statistics: quality control, sampling plans, SPC, control charts, trending, process capability, process data analysis, PAT, stability studies, etc. Statistical Design of Experiments (DoE) Statistical Design of Experiments (DoE) DoE for newcomers and experts: DoE vs. One-Factor-at-A-Time, factorial designs, model analysis, D-optimal and mixture designs, Design Space, Taguchi method. Six Sigma Six Sigma Introduction or Green Belt: methodology, DMAIC, Six Sigma / lean tools, statistical measures, tests, regression, DoE, sampling, SPC. With exam and certificate. Data Mining / Machine Learning Data Mining / Machine Learning Introductory courses: data mining, multivariate data analysis, clustering, classification and regression trees (CART), neural networks, genetic algorithms, etc. Material Flow Analysis Material Flow Analysis Logistic simulation: plant and recipe models, Gantt chart analysis, multipurpose plants, raw materials, semi-continuous processes, containers, breakdowns, etc.