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Learner Reviews & Feedback for Experimental Design Basics by Arizona State University

253 ratings

About the Course

This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively. All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course....

Top reviews


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.


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.

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1 - 25 of 63 Reviews for Experimental Design Basics

By satish M

Oct 27, 2020

If you are an engineer in Pharma, medical device or automobile looking for a basic course on design of experiments. this is a perfect course designed for you.

By Dr. R R R

Jul 26, 2020

It was a great experience while doing experimental design basics. I learned a lot about the Strategy of experimentation and basic statistical concepts.

By Hallison R

Sep 22, 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 Hendrik J P

Oct 10, 2020

The course provides you with a good foundation in how to approach experimental design systematically. It was possible to complete the course using Python with the statsmodels library instead of JMP. The only recommendation that I have is that a how to in Python or R video is added to the lecture series. Thank you for sharing your knowledge sir, your passion for the field is contagious.

By Chia E T

Oct 9, 2020

A great introduction to designing experiments in manufacturing and engineering settings, useful for students who wish to pursue process or validation-related career in manufacturing sites. Focus a lot on introducing the theory and fundamentals of statistical methods such as t-tests, ANOVA, blocking principle, random effects.

By Gabriel T

Sep 10, 2020

maybe, this course need to be presenting more colorfull and creative. I mean, every week i only watched lots of video, and then read some material, then finally solved the quiz questions. All of that was borring sometimes. This course needed more attractive things like games, video history of some previous scientist in doing the design experiment and many more.

By Heinen

Apr 4, 2021

As companies tend to become more data-driving -making data-driven business decisions- this course provides invaluable learnings on understanding the origin of the variability in your data. For this reason, this course is not just for scientists and engineers, but for every professional who has to deal with data on a daily basis. Moreover, I see this course also as a prerequisite for any machine learning scientist. ML scientists tend to focus a lot on building models, whereas the quality (variability) of the data is sometimes neglected (see e.g. the recent chat with Andrew Ng of DeepLearningAI on From Model-centric to Data-centric AI). Btw, the majority of the Design of Experiments Specialization can be done in Python using the statsmodels library.

By Ayush T

Nov 15, 2020

It is a great course to learn about the design of experiments. The course follows the standard textbook by the Douglas C. Montgomery, which simplify the learning process even more. The only thing which I think the course should have included is the demonstration of exercise with R Studio, which is more widely used in academic circles because it is open-source and freely available.

By Anil G

Jul 23, 2022

I am impressed by the quality of this course. It is really hard to find statistics courses that are easy to understand and don't ignore technical details. Lecturer is an amazing teacher. Would strongly recommend it if you are keen to create a strong foundational knowledge on the experimental design!

By Renato C

Nov 23, 2020

This was an excellent course that gave me knowledge in experimental design with which it is possible to apply to any industry or field.

By Richard A

Mar 8, 2021

Very nice refresher for someone who took Experimental Design years ago. I just wish that more examples were presented.

By 杜傳彬

Aug 10, 2022

peer assessment is poor, it should be canceled.

By bassam b

Jan 22, 2023

I was disappointed with the fact the Dr. Montgomery does not really explain the concepts very well.

By Huiyun P

Jan 26, 2024

The course and the Prof. helps me to enter the DOE field. Really recommended to freshman. The analysis is mainly done and shown in JMP which is a really expensive software. I hope the course can include the analysis done by free tools, like R. That will be much helpful for people who have no access to JMP in the reality.

By Diego G

Nov 26, 2020

Out of the four courses belonging to the DoE specialization, this and the second are the ones giving you the most, in my opinion. That's because they are the most practical and it's easy to translate into exercises and examples what you learn.

By Evandro A M M

Aug 27, 2023

Excellent introductory course! I studied DOE as an undergraduate, but these highly effective classes highlighted several important aspects that I had missed in the past. I feel more confident designing experiments now.

By K. G

Mar 22, 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.

By Natalia V

Aug 28, 2020

Thankyout for the class of Experimental Design Basics, I learned many things from this class. I came to know that in everyday life experimental design is very useful for the general public.

By Carlos E P F

Feb 16, 2021

Agradezco las enseñanzas impartidas por el Profesor Montogomery.

El curso es muy bueno para afianzar los conocimientos den Experimental Designs. Muchas Gracias!!!!

By Soroush S

Dec 16, 2021

This course was very practical and I thank Professor Montgomery for her excellent teaching. I also thank the Coursera team for providing this opportunity.

By Paulo H O J

Sep 4, 2022

excepcional! excelente para quem quer não só ter um pensamento critico melhor, mas também sobre como aprender mais sobre essa área sensacional


Feb 14, 2023

This course provides basic knowledge about experiment design, leading to the foundation of a quality manager or project management.

By Christian E d S

Oct 1, 2023

Excellent training material, real case studies, explained in detail, and showing how to apply the statistical tools.

By winner a a b

Sep 12, 2022

Excellent course. It is designed for everyone to understand the principles of the DOE in every field you stand.

By Danilo C P

Aug 31, 2020

Great course! Good introduction to the fabulous world of DOE. Professor Montgomery is a excellent professor.