Design of Experiments
Master statistical methods to improve products and processes through efficient experimental design and analysis.
Master statistical methods to improve products and processes through efficient experimental design and analysis.
This comprehensive specialization teaches modern experimental design strategies for product and process improvement. Led by Dr. Douglas Montgomery from Arizona State University, the program covers factorial and fractional designs, screening methods, optimization techniques, and complex experimental scenarios. Students learn to plan, conduct, and analyze experiments effectively using statistical software, with applications across industries including electronics, automotive, chemical, and pharmaceutical sectors. The curriculum combines theoretical foundations with practical implementation through real-world projects.
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What you'll learn
Plan and conduct efficient experiments effectively
Analyze experimental data to obtain valid conclusions
Use response surface methods for system optimization
Apply design tools for computer experiments
Create custom designs using optimal design methodology
Handle complex experimental scenarios
Skills you'll gain
This course includes:
45 Hours PreRecorded video
Project based on work environment
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Experimental Design Basics
Course 1 · 12 Hours to complete · 5 modules
Random Models, Nested and Split-plot Designs
Course 2 · 9 Hours to complete · 3 modules
Factorial and Fractional Factorial Designs
Course 3 · 11 Hours to complete · 4 modules
Response Surfaces, Mixtures, and Model Building
Course 4 · 13 Hours to complete · 4 modules
Fee Structure
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