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Quality Score

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Overall Score : 98 / 100

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Course Description

We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? In this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system.We use simple tools: starting with fast calculations by hand, then we show how to use FREE software. The course comes with slides, transcripts of all lectures, subtitles (English, Spanish and Portuguese; some Chinese and French), videos, audio files, source code, and a free textbook. You get to keep all of it, all freely downloadable.This course is for anyone working in a company, or wanting to make changes to their life, their community, their neighbourhood. You don't need to be a statistician or scientist! There's something for everyone in here. ---------------Over 1000 people have completed this online course. What have prior students said about this course?"This definitely is one of the most fruitful courses I have participated at Coursera, considering the takeaways and implementations! And so far I finished 12 [courses].""Excelente curso, flexible y con suficiente material didActico fAcilmente digerible y cAmodo. No importa si se tiene pocas bases matemAticas o estadAsticas, el curso proporciona casi toda explicaciAn necesaria para un entendimiento alto.""I wish I had enrolled in your course years ago -- it would have saved us a lot of time in optimizing experimental conditions." Jason Eriksen, 3 Jan 2017"Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze." 20 February 2016."... love your style of presentation, and the examples you took from everyday life to explain things. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!"---------------

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Instructor Details

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Kevin Dunn is an assistant professor at McMaster University, in Hamilton, Ontario, Canada. He focuses on teaching students the foundations of chemical engineering. With a strong interest in teaching innovation, he investigates the use of software and novel teaching techniques in engineering education. Kevin also applies his knowledge and experience outside the university, advising companies on the use of databases, optimization and using experiments. He is the author of the textbook "Process Improvement Using Data".

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Reviews

4.9

139 total reviews

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By Yupeng D on 26-Apr-16

Excellent course, very helpful

By Beata B on 20-Feb-16

Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze. Participating in this course is a real pleasure and a great fun.

By Victor J M B on 9-Feb-16

great course. highly organized and well presented. additional resources are very useful. thanks.

By Mattia C on 27-Feb-16

fantastic course!

By Diyi L on 21-Aug-15

Great lesson, congratulations to the Professor

By Pooja M on 10-Sep-15

I've been providing a lot of great insight in my daily job activities because of what I am learning in this course.

By Raw N on 15-Jun-16

Excellent!

By Stanislav R on 19-Aug-15

Experimentation for process improvement is an excellent course and it will make a better and wiser experimenter. My background is in healthcare field and medicine and after taking this course it help to critically appraise and read article related to research in medicine. This is my first verified certificate course and i always revisit the materials whenever i need them. This is a must attend course and you would enjoy it as i have enjoyed it.

By Robert C on 20-Aug-16

It was the first I joined and it was excellent.

By Felix V B on 23-Oct-15

Este es un excelente curso, explica los conceptos de experimentación de una forma clara, practica y entendible para cualquier estudiante.

By Carl H on 5-Mar-18

I use this course to improve my work by designing experiment more efficiently. Thank for having such a nice course.

By Feng Z on 25-Apr-16

Excellent and useful!