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Вернуться к Data Analytics for Lean Six Sigma

Отзывы учащихся о курсе Data Analytics for Lean Six Sigma от партнера Амстердамский университет

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Оценки: 2,721
Рецензии: 899

О курсе

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...

Лучшие рецензии

HA

14 июля 2020 г.

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

29 апр. 2017 г.

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.

Фильтр по:

676–700 из 901 отзывов о курсе Data Analytics for Lean Six Sigma

автор: sushma

16 окт. 2017 г.

Concepts are well explained!!!

автор: Abram G I

25 мая 2022 г.

V​ery nice and useful lessons

автор: Romy

6 мар. 2022 г.

Great content and explanation

автор: Maria C N G

22 мая 2020 г.

Very informative and engaging

автор: Shrikant P

25 апр. 2020 г.

Good content and explanation.

автор: Ruggero G

6 мар. 2020 г.

really useful course amazing!

автор: Alaa H A

2 июня 2019 г.

great overview and conclusion

автор: Oliver R

29 мая 2022 г.

very good! i recommend 10/10

автор: Paresh V

23 авг. 2021 г.

Great Learning Experience!!!

автор: Charlene A

28 февр. 2021 г.

Thank you so much, Coursera!

автор: prabir m

16 янв. 2018 г.

Excellent way of explanation

автор: XiaodongZhang

26 мар. 2017 г.

Very well organized, focused

автор: S D V K

20 июня 2017 г.

good with relevant examples

автор: Lynh N

7 мая 2022 г.

Basic. Easy to understand.

автор: A V B K

15 июня 2017 г.

Extremely helpful. The cou

автор: Luca C

10 янв. 2022 г.

Well structured and paced

автор: Rima K

19 июня 2021 г.

Sessions are informative!

автор: umar h

2 нояб. 2020 г.

very fruitful, thank you.

автор: Gustavo D V L

27 авг. 2020 г.

Very good!! From Brasil!!

автор: Tanvi S

2 сент. 2019 г.

A very interactive course

автор: Georgios P

16 мая 2017 г.

Nice Introductory course!

автор: Amanda

23 мар. 2017 г.

Very useful and inspiring

автор: Bhumika S

11 авг. 2020 г.

it was great doing this.

автор: Eric K K

13 июля 2020 г.

Good practical approach!

автор: Miguel G

19 июня 2020 г.

Very precise information