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学生对 阿姆斯特丹大学 提供的 Data Analytics for Lean Six Sigma 的评价和反馈

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2,235 个评分
762 条评论

课程概述

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. I hope that you enjoy this course and good luck! Dr. Inez Zwetsloot & the IBIS UvA team...

热门审阅

HA
Jul 14, 2020

Love it!! I haven't been this much confident with statistical analysis and hypothesis testing. I like this learning material as its practical (the cases and scenarios) part was very helpful. Thank you

RM
Apr 29, 2017

An amazing course .Very crisp and clear. Thank you Dr.Inez for making learning so much easier and fun.Examples gave a better understanding.I'm sure I'll be able to apply it in my research. Thank you.

筛选依据:

401 - Data Analytics for Lean Six Sigma 的 425 个评论(共 754 个)

创建者 AZEEM S

Mar 4, 2019

It is a very informative and learning course. learning procedure is best.

创建者 Soumitra D

Jun 5, 2020

Very good for expanding the knowledge base. Very well explained lectures

创建者 Fajrul I

Jun 16, 2019

The Course is very usefull for my job.

Thank you for teaching me online.

创建者 Richard V

Jun 4, 2019

Cursos sumamente interesante y explicado de manera coherente. Excelente!

创建者 TONY V R

Feb 26, 2019

one of the best online course on lean six sigma in its most simple form.

创建者 Steeven R P C

Dec 13, 2020

¡Excelente curso! Buena didáctica por parte de la doctora. Recomendado.

创建者 ROHIT L

Sep 4, 2020

It was really very nice course which fundamentally clears all concepts.

创建者 Dianadlt

Jun 13, 2020

Very well explained, I love doing this course. Thank you, teacher Inez.

创建者 Dayanand V Y

May 15, 2020

It was very good content, examples and explanation. thank you very much

创建者 Redouane R

May 2, 2020

Interesting course with rich and pragmatic program. Thank you very much

创建者 K S S C S

Apr 9, 2020

I loved this course. All the topics and quizzes are very well designed.

创建者 Mahsagar M

Aug 19, 2020

A amazing course for learning statistical Data analytics using minitab

创建者 Arun M

Jul 16, 2020

Explained the concept and tools very well. Presentation was excellent.

创建者 Francisco d S B J

Feb 28, 2020

Conteúdo muito interativo. Gostaria que tivesse uma sequencia do curso

创建者 Juan F U

Jan 11, 2019

It is a bigginer course and it provides all the knowledge of its scope

创建者 Sankaranarayanan P

May 7, 2018

Fantastic refresher with though provoking quizzes to kindle the brain!

创建者 Josue O C E

Mar 3, 2018

very descriptive and very well handled course how to explain the tools

创建者 Prisca O

Apr 26, 2017

This is my best class so far. It is practical, hands on, and detailed.

创建者 Monicha R T

Sep 29, 2020

Very interesting topic, very clear explanation. Thank you, Professor!

创建者 Juan I P

Apr 29, 2019

Very easy to understand. Oustanding the explanations and the examples

创建者 Andrea A

Mar 27, 2018

A great introduction to Data Analytics

Interesting and well explained

创建者 Siddharth P

Jan 5, 2018

Very well explained. Minor detailed also covered perfectly.

Keep it up

创建者 ELISA G O

Jul 24, 2017

Excelente curso! Muy práctico, ejemplos claros. Teacher muy empática.

创建者 Jesus I

Jun 24, 2017

It was a great course. I want to know if will be most avanced course.

创建者 Jaicy

Oct 4, 2020

The course was a rich learning experience with illustrative examples