Chevron Left
Вернуться к Data Analytics for Lean Six Sigma

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

4.8
звезд
Оценки: 2,780

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:

801–825 из 917 отзывов о курсе Data Analytics for Lean Six Sigma

автор: Magali O

16 дек. 2020 г.

excelent

автор: Randald E D S

5 янв. 2020 г.

love it

автор: Andrea S C

27 окт. 2019 г.

PERFECT

автор: Daniela C S d Z R

26 мая 2017 г.

So good

автор: Abdulrahman A A A

26 апр. 2022 г.

goood.

автор: Na R

30 апр. 2019 г.

Rate 5

автор: Job K

5 февр. 2019 г.

Thanks

автор: Aabid A S

7 июля 2021 г.

Great

автор: Agustín L S

24 дек. 2019 г.

great

автор: Jessica R

2 авг. 2019 г.

Great

автор: Surendran R

9 мая 2022 г.

good

автор: Tristan l

10 авг. 2021 г.

nice

автор: Prashant R T

22 сент. 2020 г.

good

автор: Manoj K

11 июля 2020 г.

Good

автор: Prakash S

23 июня 2020 г.

Good

автор: Masooth A

19 июля 2019 г.

good

автор: SAMWEL S K

14 февр. 2022 г.

ok

автор: Aynur K T

23 мар. 2020 г.

E

автор: Juan C A V

2 авг. 2019 г.

V

автор: T V R

8 июня 2017 г.

C

автор: AKM Z

18 мая 2017 г.

T

автор: Meenakshi D

8 апр. 2019 г.

Excellent course for beginners, especially those without a background in mathematics, statistics, to develop an interest in / get a good grasp over statistical techniques. Graduate level applied statistics has been explained at a conceptual level with examples one can easily understand and relate to. If this can be upgraded to a specialization to include lean six sigma concepts, statistical formulas and their derivations in separate (optional) modules for the benefit of those aspiring for a career in mathematics, statistics or lean six sigma certifications, this course could beat similar courses offered by other MOOCs / universities.

автор: Priyank K

23 июня 2017 г.

My reason of taking this course was to brush up minitab skills, which I haven't used much in last 1.5 years but I consider is very important tfor data driven decision making. I also wanted to perform same statistical analysis using R because I wanted to enhance my r programming skills also. But I realized that'll be too much time consuming exercise, so, didn't do that. Overall good experience, good examples used to demonstrate concept as well as minitab's application. Thanks to the professor and her team involved.

автор: Janire V

7 нояб. 2017 г.

I think it is a good course introductory course for introducing Data Analytics. The explanations are very clear, as well as the examples selected. It gives a general overview of the main methodologies to perform depending on the kind of data we have. Minitab instructions are a big plus, as a software simple but powerful to perform this analysis and understand the results. Thank you and congratulations for the course.