Design of Experiments Course
Master Design of Experiments for engineering. Learn factorial and response surface designs, Taguchi methods, power analysis, and optimization, then turn results into robust process settings, control plans, and measurable quality and cost improvements.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
This Design of Experiments Course shows you how to plan efficient studies, choose between full or fractional factorials, Taguchi, and response surface designs, and handle noise factors for robust results. Learn to analyze data with ANOVA, model diagnostics, and visualization, optimize with desirability functions, and translate findings into reliable settings, control plans, and documentation using practical examples, simulation, and modern software tools.
Elevify Differentials
Develop Skills
- Plan efficient DOE studies: choose designs, runs, and factors with confidence.
- Analyze DOE data: fit models, run ANOVA, and interpret effects fast.
- Optimize processes: apply RSM, Taguchi, and desirability for robust settings.
- Validate and scale up: confirm results, set controls, and update SOPs quickly.
- Use DOE software: apply R, Python, and spreadsheets for real engineering data.
Suggested Summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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