Save for later

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. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ 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!" ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Send to:
Rating 4.8 based on 101 ratings
Length 7 weeks
Effort 2 to 3 hours of lectures and assessments per week, over 5 weeks of study
Starts Aug 24 (5 weeks ago)
Cost $29
From McMaster University via Coursera
Instructor Kevin Dunn
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Engineering Mathematics Science
Tags Data Science Data Analysis Physical Science And Engineering Probability And Statistics Research Methods

Get a Reminder

Send to:

Similar Courses

What people are saying

design of experiments

In this course you will have a comprehensive introduction to the methods of Design of Experiments, using several real world illustrations and well driven software applications.

I have definitely grown in knowledge and confidence in regards to design of experiments, I do recommend purchasing the certificate as this course is more than worth it, all be it for a free!

Excelente taller, buenos ejemplos y pruebas con una dificultad que debe ser atendida para poder aprobar One of the best approaches to introduce into real life experimentation for optimizing process A very good introduction to the concept of Design of Experiments.

I found the starting point appropriate for total novices (though for someone with some background, the pacing felt very slow and repetitive at times), but there was a well-defined progression from the simplest to more advanced concepts.I would have appreciated some more theoretical content, both foundational and advanced, and the pacing/structure could use some rethinking to avoid staleness, but overall this is a very nice introduction to important aspects of design of experiments and optimization.

It was my first introduction to Design of Experiments topics and I am taking away a lot of knowledge!

Read more

easy to understand

:) it's a great course, easy to understand even if you don't have and engineering background.

It's really useful and easy to understand for newbie person like me.

Easy to understand course- with real world examples.

Very informative and easy to understand.

Read more

very good

I think it's a very good course where you need to pay a lot of attention!

!Htank you very much Very good course,and an excellent instructor.

Read more

very well

A very well organized course that I definitely recommend.

The content is structured in six weekly modules and every section is very well prepared.

I like this course as It is really applicable, very well prepared, the ideas are presented in a clear way.

Read more

real world

Grounded in real world use.

kevin dunn

Thank you very much Professor Kevin Dunn.I enjoyed your course, and I really appreciate the time and effort you put into those lessons Course is well planned, the lectures are clear and no steps are skipped during explanation.

Thank Coursera and in special to Kevin Dunn.

I will like to thank Dr. Kevin Dunn and his team for such making such course.

Read more

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Community Nutrition Educator – Full Time Day $20k

Community Counselor 2 $38k

Community Interventionist $40k

Full-Time or Part-Time Community Care Licensed Social Worker $40k

Community Liaison 6 $46k

Full-Time Community Care Licensed Social Worker $47k

Community Development Program Specialists (Time-Limited Positions) $48k

Community Development Program Specialists (Time-Limited Position) $50k

Community Planning $69k

Community $73k

Dean of the Community $88k

Community Marketing $99k

Write a review

Your opinion matters. Tell us what you think.

Rating 4.8 based on 101 ratings
Length 7 weeks
Effort 2 to 3 hours of lectures and assessments per week, over 5 weeks of study
Starts Aug 24 (5 weeks ago)
Cost $29
From McMaster University via Coursera
Instructor Kevin Dunn
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Engineering Mathematics Science
Tags Data Science Data Analysis Physical Science And Engineering Probability And Statistics Research Methods

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now