Name: Data Analytics for Lean Six Sigma
Brand: University of Amsterdam
Availability: OnlineOnly
Rating: 4.8 (1133 reviews)

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

4.8

stars

3,481 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

Jun 10, 2020

The course is elaborate and easy to understand with all the common examplease used. Inez was excellent in making me understand the terms as well as the techinques that I found difficult earier.

Jun 21, 2020

This course is simply amazing because I learned the basics of data analytics using a simple and intuitive software called Minitab and the course instructor explained the basics really well.

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1126 - 1133 of 1,133 Reviews for Data Analytics for Lean Six Sigma

By Oscar F R P

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Jun 15, 2021

The course is very interesting and the insights you get, though after may seem as common sense, are usefull tools that most of the people may use in many fields, BUT the use of minitab is terrible, the software costs and may not always be available. I used python to recreate the activities and believe that when taking this course you should try to translate the content into your preferred tool (python, vba, R, etc.) so you really learn how to do it.

By bartos t

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May 6, 2017

I really enjoyed the course, but in comparision to other MOOCs I have already participated in I am missing interaction with other students or the lecturers. It would be great if you integrated a bit more social learning. Thanks a lot for the course. I am still very happy that I participated :) Warm regards Thomas

By Deepak T

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Mar 4, 2021

Nice compilation of the Statistical methods used in the normal determination of the relationship between two (X and Y) Variables and identify their best fit