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...

創建者 RM

•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.

創建者 RK

•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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296 個審閱

創建者 Saurav Yadav

•Apr 23, 2019

The examples presented were really helpful in understanding the concepts. The presentation of course material was very lucid and crisp. Thanks a lot for amazingly crafting the course.

創建者 Maritza Lew

•Apr 21, 2019

Great class. Thank You so much. I learned a lot.

創建者 Jingting Xiong

•Apr 17, 2019

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

創建者 Meenakshi Dutta

•Apr 08, 2019

Excellent course for beginners, especially those without a background in mathematics, statistics, to develop an interest in / get a good grasp over statistical techniques. Graduate level applied statistics has been explained at a conceptual level with examples one can easily understand and relate to. If this can be upgraded to a specialization to include lean six sigma concepts, statistical formulas and their derivations in separate (optional) modules for the benefit of those aspiring for a career in mathematics, statistics or lean six sigma certifications, this course could beat similar courses offered by other MOOCs / universities.

創建者 excer allan

•Apr 03, 2019

interesting and challenges thinking

創建者 Deepak Panduranga

•Apr 01, 2019

The course starts from fundamentals of statistics and discusses various methods of data analysis for different scenarios.

創建者 Surojit Ganguli

•Mar 31, 2019

Good course. Can be improved by adding more details on when to use a certain test and explain the stat results throughly

創建者 Banglet Joël Victor YAÏ

•Mar 31, 2019

Très bonne méthodologie pour enseigner commer faire des analyses statistiques.

Very good methodology to teach how to do statistical analysis.

創建者 Daniel González

•Mar 31, 2019

Super Pragmatical and also with enough theory.

創建者 Lance Williams

•Mar 29, 2019

Really good course - perfect for practical learners. You are made to follow along and use easy datasets to test different analytical methods. A really good practical course.