Back to Data Analytics for Lean Six Sigma

4.8

stars

1,184 ratings

•

412 reviews

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...

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.

Jul 02, 2017

Amazing course to refresh the statistical knowledge especially if you wish you take up Lean Six Sigma career path. It gave me enough time and chance to prepare and learn. It is a must for everyone.

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By Jingting X

•Apr 17, 2019

Very concise and clear course for hand-on knowlege of data analysis for quality purposes.

By Aziz E o

•Oct 15, 2017

Straightforward and well explained with many practical examples! thank you Dr. Zwetsloot

By Leonardo J V G

•Mar 21, 2018

I have learned a lot about how statistical tools can be helpful to make right decisions.

By Carolina P M

•Sep 02, 2019

This course was very interesting. The teacher has talent to teach and motivate students

By Federico V

•Aug 15, 2017

Concepts are explained in an excellent way, perfect course if you are at the beginning.

By Elena M

•Jul 06, 2017

I have enjoyed the material structure. The course was clearly explained by the teacher.

By Enol V R

•Mar 21, 2020

Genial explicado y con unos ejemplos muy útiles.Volvería a repetir con esta profesora.

By ANVAYA B N

•Aug 27, 2019

Easy and simple teaching. Best course for for beginners to learn about data analytics

By Yi-Kai S

•Aug 26, 2018

Very simple and easy to understand for people don't have strong statistics background

By Rachit S

•May 31, 2017

Great course to understand different statistical analysis method. Just what I needed!

By Haba H F

•Apr 14, 2018

Great Course, for understanding data analytics and Minitab for lean sigma experience

By Ishika B

•Mar 27, 2019

The concept were properly explained by the instructor. The course was pretty good.

By ankur s

•Apr 30, 2018

It is a fairly simple yet effective course to kick start your statistics education

By Rahul K

•Jun 05, 2019

It was crisp and clear. I learned very useful analytics techniques using Minitab.

By Ahmed R S K

•Jun 26, 2017

This course was very useful and the explanation was clear with many life examples

By Myrthe v d P

•Nov 01, 2018

Very nice and clear explanation of basic statistical knowledge. Well done, Inez!

By Neha C

•Aug 20, 2018

Learnt lot about statistical tools. Highly recommended for Industrial Engineers.

By G M A

•Sep 25, 2017

1-excellent course, some more courses which is useful for industry requirements.

By Fabrice K

•Aug 24, 2017

Very helpfull course and great teaching skills! Nice Explanation of the differ

By Ts. C K L

•May 31, 2017

Great course. Hope to have additional topics such as the Design of Experiment.

By Brian L S

•Mar 29, 2017

It is a really useful course for starting in the world of Process Improvement.

By Ahmet E

•Nov 20, 2019

great explanation of concepts and practices referable to real business cases.

By Elena B

•Feb 13, 2019

Excellent introductory course, with a lot of examples and very well presented

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