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맥마스터대학교의 Experimentation for Improvement 학습자 리뷰 및 피드백

4.8
별점
831개의 평가
214개의 리뷰

강좌 소개

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!" ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯...

최상위 리뷰

SM
2020년 7월 21일

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
2018년 2월 18일

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

필터링 기준:

Experimentation for Improvement의 214개 리뷰 중 201~214

교육 기관: João S

2016년 9월 12일

Very nice topic, intresting examples and great classes.

교육 기관: Rasika I

2016년 12월 25일

excellent course and professor goes with a steady pace

교육 기관: ARULSIVANANTHAM

2019년 9월 11일

Good course for all levels of students.

교육 기관: jaime p a b

2017년 7월 16일

es muy bueno lo recomiendo

교육 기관: Charles B

2020년 7월 7일

is incredible!

교육 기관: Samith A P O

2020년 5월 25일

Muy buen curso

교육 기관: Benny A R V

2017년 4월 28일

Muy Buen Curso

교육 기관: Hizbullah M

2019년 3월 15일

very helpful

교육 기관: ASMA S A M

2021년 9월 21일

excellent

교육 기관: Akibu B A

2020년 10월 27일

Very good

교육 기관: MARIA C H

2020년 6월 1일

Muy buena

교육 기관: Harsh G

2016년 9월 26일

PROS

Great explanations by the instructor. Easy to understand course- with real world examples.

CONS

Pacing was too slow.

Too simple and easy for the 5 weeks of coursework in my opinion. Several harder concepts could be covered in the time that the course ran. Problems were also very simple and not very challenging.

교육 기관: Milad Y

2020년 4월 15일

A good course for beginners to start learning process optimization. There is absolutely no need to have such a long quizzes to evaluate students. The design of quizzes is so bad which i wanted to quit the course even I needed the certificate.

교육 기관: Aubin, P

2015년 11월 1일

I dislike the way the grade is settled. Because of the difficulty and technicality of the course, passing grade should be 7 out of 9, instead of 8 out of 9. We are not PhD's, but student learners.......