Experimentation for Improvement
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.
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Over 1500 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 didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación 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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Syllabus
Syllabus - What you will learn from this course
Week 1
Introduction
Week 2
Analysis of experiments by hand
Week 3
Using computer software to analyze experiments
Week 4
Getting more information, with fewer experiments
Week 5
Response surface methods (RSM) to optimize any system
Week 6
Wrap-up and future directions
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
An excellent course for natural scientist which can help them set up the mindset and knowledge on designing experiment and data analysis, combining R program.
Great course. I wish there were homework assignments though to make it more engaging. One of the best courses I have taken in coursera
Really interesting course, simple and helpful for all fields. It required not specific background, just start and enjoy the wonderful way Kevin illustrate the course.
Amazing! Very useful information, very intense workload. It´s a difficult subject, very well explained. It has many applications in almost any life or work area. Highly recommend it.
