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Design Of Experiments Course

Design Of Experiments Course
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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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