Chevron Left
Retour à Expériences pour des améliorations

Avis et commentaires pour d'étudiants pour Expériences pour des améliorations par Université McMaster

4.8
étoiles
716 évaluations
198 avis

À propos du cours

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!" ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯...

Meilleurs avis

SM

Jul 22, 2020

It is one of the best course present on coursera. I would recommend everyone to take this course. It will not only help you to optimize your activities in work place but also in your personal life.

EB

Feb 19, 2018

Very good course,and an excellent instructor. Thank you very much Professor Kevin Dunn.\n\nI enjoyed your course, and I really appreciate the time and effort you put into those lessons

Filtrer par :

26 - 50 sur 196 Avis pour Expériences pour des améliorations

par Alex V

Jun 26, 2020

This course was very well planned. Congratulations to Kevin because he translated content considered difficult in a friendly way. The graphics, content taught, and final tests follow a proper logic where you actually learn. It exceeded my expectations a lot!

par PURETI S

Jul 20, 2020

I would highly recommend this course to anyone who has an interest in research or simply like to experiment with things, this course would be a great help for people from any background and all the concepts are explained really well by Professor Kevin Dunn.

par Fernando M

Aug 30, 2020

It is a great course, well orientated, very interactive and very well structured. It uses R to model real live behavior of different experiments however you do not need to know how to use R, its use is very simple. There are a broad range of applications.

par Michiel H

Jun 27, 2019

Great course, I have learned a lot. The teacher is great and responds to your questions very quickly. The videos are great, crammed with real world examples. Very practical course and very interesting. This is a moneymaker for process improvers.

par Brunno T M M

Aug 23, 2020

Esse curso me ajudou muito a entender sobre um novo universo, ver como ocorre do inicio ao fim todo um processo de analise e elaboração de uma pesquisa e todo o esforço que é necessário para superar barreiras e alcançar os objetivos desejados.

par Anna M

Jun 03, 2020

The course focused on simple manual method on how to test experiments on the other side of the envelope (as well as in RStudio). Plus very visual and easy to understand for a person who does not daily spend time calculating or programming.

par José d J A H

Apr 19, 2019

Excelente Curso¡ Muy bien explicado, muy aterrizados cada uno de los conceptos, explicados con ejemplos sencillos, dentro de lo complejo que puede ser este tema. Feliciades a Kevin Dunn, un excelente profesor y colega Ingeniero Qúímico.

par Carlos O

Feb 04, 2018

Fantastic course. I am just amazed on how simple the concept are explained and the widespread applicability it has. Thank Coursera and in special to Kevin Dunn. You are a wonderful profesor and I am grateful for all you have taught me!

par Mateo G V

Mar 12, 2020

This has been such a nice way to learn about Design Of Experiments (DOE) by a Statistic way. I am not native English speaker but still it has been very easy to learn and understand all the content from the course. Congratulations!

par Chuck H

Jan 12, 2018

Amazing course. This is probably the only comprehensive DOE course on the internet right now. The course is not mathy at all, and makes a complex concept really simple. Really great instructor, great set of lectures, good quizzes.

par Fausto M

Jun 09, 2018

This course teaches, in a practical and useful way, how an experiment should be made. Beginning with very basic concepts and finishing with a practical case which improves the process, getting the best benefit (our outcome).

par Anna S

Feb 20, 2016

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.

par Anirudh V K

Apr 05, 2018

This is an amazing course for beginners who want to learn how to perform experiments in a controlled manner and then analyze each output from the experiment. I'd recommend this to my friends and colleagues.

par Luis A L B

Aug 18, 2020

A challenging course that makes you think all the time to teach you the best way possible how factorial experiments work and how the design and optimization work. I learned a lot and also had a great time.

par Erik J

Jan 15, 2017

I really enjoyed this course. It was my first introduction to Design of Experiments topics and I am taking away a lot of knowledge! The pace is just right and the material is covered in a clear manner.

par Guty P

Apr 15, 2020

Amazing course!

The content is powerful yet easy to follow. There are real life examples to ecourage you to use the tools you learn and plenty of resources available. Definitely a course worth the time!

par Saurabh M

Jul 22, 2020

It is one of the best course present on coursera. I would recommend everyone to take this course. It will not only help you to optimize your activities in work place but also in your personal life.

par Héctor G M M

Nov 16, 2015

Takes you by the hand, even if you have little or no background to the course elements, in order for you to learn what may have otherwise been a fairly challenging topic. Certainly recommended!

par Aureliano A B

Mar 17, 2018

Great! 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.

par Eitan B

Feb 19, 2018

Very good course,and an excellent instructor. Thank you very much Professor Kevin Dunn.

I enjoyed your course, and I really appreciate the time and effort you put into those lessons

par James M

Jun 11, 2018

Excellent course that has wide applicability. The course leader explains concepts in very clear manner, and the case histories are interesting and very helpful.

par Kimberly O

Apr 22, 2020

A very math-intensive course that is VERY well worth the time and struggle! I would highly recommend this course. It has really changed my view on improvement.

par Carli M

Feb 22, 2018

Fantastic course for college engineering students or even recent grads whose program's, as they increasingly do, do not cover DOE in their required coursework.

par Feynman

Nov 18, 2019

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.

par Arnab C

Jun 14, 2017

Very useful and implementable course. Highly recommended for students and professionals alike who are in the business of developing new product and processes.