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Learner Reviews & Feedback for Data Analytics for Lean Six Sigma by University of Amsterdam

4.8
stars
3,426 ratings

About the Course

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...

Top reviews

HY

Jul 15, 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 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.

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By Kalilou i S

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Feb 16, 2023

Good !

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Apr 26, 2022

goood.

By Na R

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Apr 30, 2019

Rate 5

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Feb 5, 2019

Thanks

By JONNY A M

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Jan 31, 2025

bien.

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Oct 15, 2024

great

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Jul 7, 2021

Great

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Dec 24, 2019

great

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Great

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Jun 7, 2025

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Oct 10, 2023

good

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May 9, 2022

good

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Aug 10, 2021

nice

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Sep 22, 2020

good

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Jul 11, 2020

Good

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Jun 23, 2020

Good

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Jul 19, 2019

good

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Sep 13, 2024

ok

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Feb 14, 2022

ok

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May 2, 2024

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Feb 6, 2023

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By Aynur K T

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Mar 23, 2020

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By Juan C A V

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Aug 2, 2019

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By T V R

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Jun 9, 2017

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