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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 ...
4.8
4.8/5
(802 reviews)
31,492 students
Created by

9.1

Classbaze Grade®

N/A

Freshness

8.8

Popularity

8.9

Material

Experimentation for Improvement
Platform: Coursera
Video: 5h 16m
Language: English

Best Probability and Statistics classes:

Classbaze Rating

Classbaze Grade®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.8 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.9 / 10
Video Score: 8.4 / 10
The course includes 5h 16m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 14 minutes of 41 Probability and Statistics courses on Coursera.
Detail Score: 8.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

6 articles.
0 resource.
0 exercise.
34 tests or quizzes.

In this page

About the course

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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What can you learn from this course?

What you need to start the course?

Basic knowledge of Probability and Statistics is required to start this course, as this is an intermediate level course.

Who is this course is made for?

This course was made for intermediate-level students.

Are there coupons or discounts for Experimentation for Improvement ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Will I be refunded if I'm not satisfied with the Experimentation for Improvement course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Kevin Dunn?

Kevin Dunn has created 1 courses that got 91 reviews which are generally positive. Kevin Dunn has taught 31,492 students and received a 4.81 average review out of 91 reviews. Depending on the information available, we think that Kevin Dunn is an instructor that you can trust.
Chemical Engineering
McMaster University
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”.

9.1

Classbaze Grade®

N/A

Freshness

8.8

Popularity

8.9

Material

Platform: Coursera
Video: 5h 16m
Language: English

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