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Avis et commentaires pour d'étudiants pour Data Analytics for Lean Six Sigma par Université d'Amsterdam

2,775 évaluations

À propos du cours

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...

Meilleurs avis


14 juil. 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


29 avr. 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.

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901 - 916 sur 916 Avis pour Data Analytics for Lean Six Sigma

par Rami T

25 janv. 2020

Very practical course !

par Kleider S V G

27 déc. 2021

Thanks for the course.

par Christian U

26 juin 2017

its was satisfactory

par Luis C

9 juin 2022

It's simply great.

par Shanmuga s G

21 août 2018

Very good content

par satinder m

10 févr. 2019

It was excellent

par Kennedy B

17 mai 2022

Awesome course

par Anuj V

8 juil. 2017


par Adrienne H

24 juin 2020

An OK course for novices wanting to learn more about some basic concepts. Would have liked to see more active learning, such as pauses in videos to test whether I as a student really understood material at a deep level. The examples given were overly simplistic and don't necessarily cover realistic situations that may be more complex in nature. Many parts of Minitab output are ignored in lectures and only the skeleton of concepts is provided. I noticed a lot of somewhat distracting grammatical errors in lectures and quizzes; however given that the instructor is not a native English speaker it is understandable. Quizzes do not provide very helpful feedback; they simply refer to the module and don't explain why a certain answer is correct or not.

par Manoj S R

2 mai 2020

This course is really helpful to a Beginner in getting acquainted with various tools of Data Analytics, and the conditions to select appropriate tool to analyse a dataset.

Though in this course, Minitab is used to analyse data using various tools, however a clear and smooth flow of instructions helps in understanding the tool which can later on be used in any platform, I tried using the tools in Excel which to some extent after some research in internet was able to use few of the tools.

par Oscar F R P

15 juin 2021

The course is very interesting and the insights you get, though after may seem as common sense, are usefull tools that most of the people may use in many fields, BUT the use of minitab is terrible, the software costs and may not always be available. I used python to recreate the activities and believe that when taking this course you should try to translate the content into your preferred tool (python, vba, R, etc.) so you really learn how to do it.

par Dr. T B

5 mai 2017

I really enjoyed the course, but in comparision to other MOOCs I have already participated in I am missing interaction with other students or the lecturers. It would be great if you integrated a bit more social learning. Thanks a lot for the course. I am still very happy that I participated :) Warm regards Thomas

par Deepak T

4 mars 2021

Nice compilation of the Statistical methods used in the normal determination of the relationship between two (X and Y) Variables and identify their best fit

par Meinhard P

16 juin 2017

Not a lot on Six Sixma. Rather basic statistics.

par Carolina R G

29 sept. 2019