KG
Mar 21, 2021
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.
HR
Sep 21, 2020
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.
By Qutaiba M A
•Feb 24, 2023
very clear course
By Archisha M
•Oct 20, 2024
very informative
By 王龙
•Aug 28, 2023
非常好的一节由浅入深的入门级课程
By José M P C
•Jul 29, 2020
Excellent!!
By Mr. A D
•Oct 31, 2022
EXCELLANT
By Raghul S
•Jul 28, 2021
Excellent
By Hernan D S R
•Mar 11, 2021
Useful
By Irene F R S
•Aug 30, 2020
kerenn
By ISHA P
•Nov 7, 2024
Great
By sharad k c
•Jul 10, 2020
Great
By ANANYA C
•Nov 7, 2024
Best
By Rachel C
•Feb 24, 2024
The course taught the basics of experimental design as per its title and also the statistical tests commonly used to test the significance of the experimental results. It's very heavily reliant on the textbook for details so for people who don't have it, the course videos might seem a bit lacking. The exercise questions were rather difficult and the ones involving statistics concepts were basically guesswork if you couldn't understand the underlying theory well like I did. The project was interesting and helped me to think about how to apply the newly learned concepts in my work. Not a fan of peer reviews though. The AI grading worked fine for me. Looking forward to completing the rest of the specialisation in the future.
By Juan F
•Sep 1, 2021
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.
By JOEL L S M
•Mar 25, 2021
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.
By José A Á R
•Feb 21, 2022
Overall I found the course very intersting and useful. Dr. Montgomery does a good job explaining the topics, and also his student with the JMP exercises. I removed one star because often I found myself having problems reading the slides.
By Raul Z
•Jan 13, 2021
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.
By Nik B B
•Jan 4, 2021
Good material but slow and dry. Assignments were bad and in a non-standard programming language.
By df20211534 L R V
•Apr 19, 2022
Very informative for understanding and grsping of concepts
By Fernando G M G
•Sep 14, 2020
Nice course.
By Gerardo N
•Jul 29, 2022
I have taken multiple statistics courses before and I think this course did an okay job with covering the basics. There are a few errors in the answers to the weekly quizzes, which makes you feel as though you did not learn the material correctly. The instructor is extremely knowledgeable but I feel as though he could have covered more examples in further detail. If JMP is the software used for the course to analyze data, then he should have used it during his lectures, instead of screenshots from an old book or older versions of the software.
By Victor S
•Oct 20, 2022
I would buy this course from whatever other service. Or just read the manual for minitab. No specific use or value.
By Rakesh M
•Nov 12, 2021
It is good if you want theoretical understanding from 1970s book.
By Rómulo R Y L
•Oct 15, 2021
.