Chevron Left
Back to Data Analytics for Lean Six Sigma

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

4.8
stars
3,466 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

LH

Jun 27, 2022

I couldn't stop, I enjoyed this class so much I completed it early!!!! I love how it was interactive and the exercises were very helpful. Thank you. Instructor was very knowledgeable, too.

JL

Apr 27, 2020

I really love this course as I've learned a lot from it. All the techniques and learning I've acquired here would definitely help me a lot in my current role and projects. Thank you Dr. Inez!

Filter by:

976 - 1000 of 1,128 Reviews for Data Analytics for Lean Six Sigma

By Ahmed H

•

Nov 9, 2017

very good

By Magali O

•

Dec 16, 2020

excelent

By LA B

•

Aug 21, 2022

awesome

By Randall D

•

Jan 5, 2020

love it

By Andrea S C

•

Oct 27, 2019

PERFECT

By Daniela C S d Z R

•

May 26, 2017

So good

By Kalilou i S

•

Feb 16, 2023

Good !

By Abdulrahman A A A

•

Apr 26, 2022

goood.

By Na R

•

Apr 30, 2019

Rate 5

By Job K

•

Feb 5, 2019

Thanks

By JONNY A M

•

Jan 31, 2025

bien.

By Raghav B

•

Oct 15, 2024

great

By Aabid A S

•

Jul 7, 2021

Great

By Agustín L S

•

Dec 24, 2019

great

By Jessica R

•

Aug 2, 2019

Great

By Phúc B V

•

Jul 9, 2025

Good

By منير ح

•

Oct 9, 2023

good

By Surendran L

•

May 9, 2022

good

By Tristan l

•

Aug 10, 2021

nice

By Prashant R T

•

Sep 22, 2020

good

By Manoj K

•

Jul 11, 2020

Good

By Prakash S

•

Jun 23, 2020

Good

By Masooth A

•

Jul 19, 2019

good

By Lộc N

•

Sep 12, 2024

ok