Training

Choose your course among the six categories. Benefit from a balanced combination of methodology and PC exercises.

1

Data Visualization and Analysis

Data Visualization and
Analysis

Basic statistics for the lab: histogram, boxplot, distributions, confidence intervals, tests, variance analysis, regression, etc. Also a specific training for method validation.
2

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.
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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.
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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.
5

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.
1

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.