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.
Experimental Design Basics
This course is part of Design of Experiments Specialization
Instructor: Douglas C. Montgomery
Sponsored by Coursera Learning Team
21,612 already enrolled
(289 reviews)
What you'll learn
By the end of this course, you will be able to:
Approach complex industrial and business research problems and address them through a rigorous, statistically sound experimental strategy
Use modern software to effectively plan experiments
Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers.
Skills you'll gain
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There are 5 modules in this course
What's included
6 videos6 readings1 assignment1 app item1 discussion prompt
What's included
9 videos1 reading2 assignments1 app item
What's included
10 videos1 reading2 assignments
What's included
6 videos1 reading2 assignments
What's included
1 peer review
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Reviewed on 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.
Reviewed on Jul 25, 2020
It was a great experience while doing experimental design basics. I learned a lot about the Strategy of experimentation and basic statistical concepts.
Reviewed on Jan 12, 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.
Recommended if you're interested in Data Science
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