Chevron Left
Back to Data Analytics for Lean Six Sigma

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

2,830 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


Jul 14, 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


Apr 29, 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.

Filter by:

701 - 725 of 946 Reviews for Data Analytics for Lean Six Sigma

By Nelly R

Dec 7, 2020

By Bionny A

Sep 25, 2020


May 20, 2020

By Wawan R

Mar 16, 2020

By Joe L

Jul 3, 2019

By Shubham S

Jun 16, 2019

By sushma

Oct 16, 2017

By Abram G I

May 25, 2022

By Romy

Mar 6, 2022

By Maria C N G

May 22, 2020

By Shrikant P

Apr 25, 2020

By Ruggero G

Mar 6, 2020

By Alaa H A

Jun 2, 2019

By Ryan S (

Sep 24, 2022

By Karla J H E

Sep 22, 2022

By Oliver R

May 29, 2022

By Paresh V

Aug 23, 2021

By Charlene A

Feb 28, 2021

By prabir m

Jan 16, 2018

By XiaodongZhang

Mar 26, 2017

By S D V K

Jun 20, 2017

By Lynh N

May 7, 2022

By A V B K

Jun 15, 2017

By Zu Z A

Sep 25, 2022

By Luca C

Jan 10, 2022