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

4.8
stars
3,329 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 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

RM

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.

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551 - 575 of 1,086 Reviews for Data Analytics for Lean Six Sigma

By Arun M

Jul 16, 2020

Explained the concept and tools very well. Presentation was excellent.

By Francisco d S B J

Feb 28, 2020

Conteúdo muito interativo. Gostaria que tivesse uma sequencia do curso

By Juan F U M

Jan 11, 2019

It is a bigginer course and it provides all the knowledge of its scope

By Sankaranarayanan P

May 7, 2018

Fantastic refresher with though provoking quizzes to kindle the brain!

By Josue O C E

Mar 3, 2018

very descriptive and very well handled course how to explain the tools

By Prisca O

Apr 25, 2017

This is my best class so far. It is practical, hands on, and detailed.

By Omer Q

Jun 9, 2024

This course completely transformed my understanding of data analysis.

By Người h 1

Oct 10, 2022

the course is very useful to analyze the data based on Lean Sixsigma

By Monicha R T

Sep 29, 2020

Very interesting topic, very clear explanation. Thank you, Professor!

By Juan I P

Apr 29, 2019

Very easy to understand. Oustanding the explanations and the examples

By Andrea A

Mar 27, 2018

A great introduction to Data Analytics

Interesting and well explained

By Siddharth P

Jan 5, 2018

Very well explained. Minor detailed also covered perfectly.

Keep it up

By ELISA G O

Jul 24, 2017

Excelente curso! Muy práctico, ejemplos claros. Teacher muy empática.

By Jesus A I L

Jun 24, 2017

It was a great course. I want to know if will be most avanced course.

By Jaicy

Oct 4, 2020

The course was a rich learning experience with illustrative examples

By Ahmed S S T

May 17, 2020

The course is very useful and the instructor is expert and empowered

By Sergi S G

Feb 21, 2019

Useful training, Good for people that is starting in Data Analytics.

By Abiodun B

Jan 8, 2019

Very interesting course and a great teacher too. Highly recommended!

By Tempest H

May 28, 2017

Excellent course for beginners in Data Analytics and Lean Six Sigma.

By Antoniuk A

Jul 16, 2022

After that course I've loved statistics! Great course :) Thank you!

By Ruel E

Sep 14, 2021

Excellent course, especially the Statistical analyses using Minitab

By Islamul H

Apr 12, 2020

Nicely structured and straight forward to the concept with exercise

By Yusuf S

Sep 24, 2017

Absolutely loved it. It was very beneficial and timely for my needs

By Kirtiman C

Jun 22, 2017

Excellent course. Explained in a very easy but effective way. Thank

By Abhinav V

Apr 22, 2024

A good course for the Six Sigma Projects with case study examples.