Design Of Experiments Course
This course equips learners with practical skills in designing, analyzing, and optimizing experiments using DOE methodologies, including factorial designs, Taguchi methods, and response surface modeling, with hands-on application in software tools for robust process improvement.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Design of Experiments Course teaches 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 advantages
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 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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