Design Of Experiments Course
This course equips you with essential skills in Design of Experiments (DOE) to plan, analyze, and optimize experiments for robust process improvement using statistical methods and software tools.

4 to 360 hours 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 analyse data with ANOVA, model diagnostics, and visualisation, optimise with desirability functions, and translate findings into reliable settings, control plans, and documentation using practical examples, simulation, and modern software tools.
Elevify advantages
Develop skills
- Plan efficient DOE studies: choose designs, runs, and factors with confidence.
- Analyse DOE data: fit models, run ANOVA, and interpret effects fast.
- Optimise 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 the 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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