Design Of Experiments Course
This course equips participants with essential skills in Design of Experiments (DOE) to enhance process optimization and data analysis in engineering and scientific applications through practical, software-supported methodologies.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Design of Experiments Course teaches you to plan efficient studies, select full or fractional factorials, Taguchi, and response surface designs, and manage noise factors for robust outcomes. You will learn to analyse data using ANOVA, model diagnostics, and visualisation, optimise with desirability functions, and apply findings to reliable settings, control plans, and documentation through practical examples, simulations, 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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