Design Of Experiments Course
This course equips learners with essential skills in designing, analyzing, and optimizing experiments using modern statistical methods and software tools for practical engineering applications.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Design of Experiments Course teaches you how to plan efficient studies, select between full or fractional factorials, Taguchi, and response surface designs, and manage noise factors for robust outcomes. Gain skills in analysing data using ANOVA, model diagnostics, and visualisation, optimising with desirability functions, and applying 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 quickly.
- Optimise processes: apply RSM, Taguchi, and desirability for robust settings.
- Validate and scale up: confirm results, set controls, and update SOPs swiftly.
- 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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