Design Of Experiments Course
This course equips you with Design of Experiments expertise for engineering success. Explore factorial designs, response surfaces, Taguchi techniques, power calculations, and optimisation strategies. Transform insights into sturdy process controls, action plans, and tangible gains in quality and cost efficiency through practical application.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills to design efficient experiments, select full or fractional factorials, Taguchi methods, and response surface designs while managing noise for robust outcomes. Master data analysis using ANOVA, model checks, and visuals, optimise via desirability functions, and apply results to reliable process settings, control strategies, and documentation with hands-on examples, simulations, and current software.
Elevify advantages
Develop skills
- Plan effective DOE studies by confidently selecting designs, runs, and factors.
- Analyse DOE data swiftly by fitting models, conducting ANOVA, and interpreting effects.
- Optimise processes using RSM, Taguchi methods, and desirability for reliable settings.
- Validate results and scale up by confirming outcomes, establishing controls, and revising SOPs.
- Leverage DOE software like R, Python, and spreadsheets for authentic 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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