Design Of Experiments Course
This course provides comprehensive training in Design of Experiments (DOE), covering study planning, design selection, data analysis, process optimization, and practical application using modern tools.

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 effective studies, select between full or fractional factorials, Taguchi, and response surface designs, and manage noise factors for strong outcomes. You will learn to analyse data using ANOVA, model checks, and visuals, optimise with desirability functions, and apply findings to solid settings, control plans, and records using real examples, simulations, and current software tools.
Elevify advantages
Develop skills
- Plan effective DOE studies: select designs, runs, and factors with assurance.
- Analyse DOE data: fit models, run ANOVA, and interpret effects swiftly.
- Optimise processes: use RSM, Taguchi, and desirability for sturdy settings.
- Validate and scale up: verify results, set controls, and update SOPs promptly.
- Use DOE software: apply R, Python, and spreadsheets for actual 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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