I have used Dr. Montgomery's book off and on since the early 1990s! It is an enjoyment to watch his lectures. The only caveat is that it is a short course, which should have been obvious to me.
The peer review assignment is daunting as you are completely at the mercy of your classmates who might leave proper feedback on what you actually did wrong. Apart from that, great class.
par Mariana A M•
Great course, very engaging! I highly recommend it!
par ANKIT G•
AWESOME COURSE FOR BASICS OF DESIGN OF EXPERIMENTS
par Allan G V•
Professor Montgomery definitely makes it amazing
par Dayana G•
Excellent course, very practical and applicable
par Anna B•
Great course, highly recommend!
par José M P C•
par Raghul S•
par Hernan D S R•
par Irene F R S•
par sharad k c•
par Juan F•
This course introduced me to the language and tools used by DoE practitioners. I recommend this course to any professionals who lack any formal DoE courses and work in any field were experimentation is required.
Why not 5 stars? I am not a fan of the course's reliance on JMP. My ability to apply what I've learned will be severely limited if I expect my employer to purchase the software. As an alternative, I did all the computational work using the "statsmodel" library in Python, but this required a significant amount of additional research.
par JOEL L S M•
El material ha sido excelente! Aunque me fue dificil por no tener un dominio de inglés. Esto me ha llevado a decidir que aprenderé bien el ingles para seguir llevando los demás módulos y ser un especialista en Diseño de experimentos de ingeniería.
par Raul Z•
pretty good course , it would have been great to have pdf or brief with the material, the book is great too , class notes would have been great.
par Nik B B•
Good material but slow and dry. Assignments were bad and in a non-standard programming language.
par Fernando M•
par Rakesh M•
It is good if you want theoretical understanding from 1970s book.
par Rómulo R Y L•