返回到 Data Analytics for Lean Six Sigma

4.8

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1,122 個評分

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396 條評論

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...

Apr 30, 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.

Jul 02, 2017

Amazing course to refresh the statistical knowledge especially if you wish you take up Lean Six Sigma career path. It gave me enough time and chance to prepare and learn. It is a must for everyone.

篩選依據：

創建者 Donaldo A

•Aug 19, 2017

Very good!

創建者 Olena D

•Nov 08, 2019

Excellent

創建者 Jhonatta d F G

•Nov 28, 2018

excellent

創建者 Eduardo A

•Nov 10, 2017

Excellent

創建者 Ahmed

•Nov 09, 2017

very good

創建者 Randald E D S

•Jan 05, 2020

love it

創建者 Andrea S C

•Oct 28, 2019

PERFECT

創建者 Daniela C S d Z R

•May 26, 2017

So good

創建者 Na R

•Apr 30, 2019

Rate 5

創建者 Job C K

•Feb 05, 2019

Thanks

創建者 Agustin L S

•Dec 24, 2019

great

創建者 Jessica R

•Aug 02, 2019

Great

創建者 MASOOTH A

•Jul 19, 2019

good

創建者 Juan C A V

•Aug 02, 2019

V

創建者 T V R

•Jun 09, 2017

C

創建者 AKM Z

•May 18, 2017

T

創建者 Meenakshi D

•Apr 08, 2019

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.

創建者 Priyank K

•Jun 23, 2017

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.

創建者 Janire V

•Nov 07, 2017

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.

創建者 Brijesh T

•Apr 16, 2017

The course is structured and easy to understand with a lot of practice exercises. However, I use Minitab on a MacBook and there are differences in the layout and location of functions. I struggled to find certain functions; even googling did not help. I would suggest you incorporate instructions for Mac users to use software tools. Overall, the course is very informative and definitely adds value.

創建者 Siddhant M

•Apr 28, 2017

This course certainly gives a good idea of Data Analytics for a Six Sigma Project. However, for a beginner like me, I think one has to do extensive reading of different analytical technique such as 2 T test, ANOVA etc, as I found this course doesn't cover the theoretical aspects. Still, it is a nice course to start with and I am looking forward to further courses from the team.

創建者 Konstantina S

•Jan 20, 2020

The course is useful to learn how to distinguish your data, recognize their characteristics, and choose the the analysis that will give you the most information.

Minitab is for sure a very useful platform for statistical analysis, way faster and more compact analysis from excel, with easier visualization tools.

I would recommend the course for beginners.

創建者 Laxman P

•Apr 26, 2018

The course is really great for those who would like to have basic understanding of the lean six sigma and the different phases of the same. The course content will also help to take data driven decision for process improvement. Further, one will understand the capabilities of Minitab and what different methods could be used during data driven decision.

創建者 Amr M E

•Nov 04, 2017

Great job !!! Dr/ Inez . i want to mention only about 2 lecturers where you choose some options in mini-tab, when practicing found that you have chosen another options to display data.

Eventually, you made me happy about this course. you have a great charisma that make the information reach easily to brain. .

please prepare another course. Thank you

創建者 stephane l

•Jul 23, 2017

Great course with good pedagogical content. The way statistical principles are explained is accessible. As an engineer, I would have appreciated to have some formulas to support the statistical definitions and explanations. I guess not giving the formulas was an editorial choice but I think the info would be valuable. At least as an appendix maybe.