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
Statistics, Lean Six Sigma, Data Analysis, Minitab
Reviews
4.8 (3,207 ratings)
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DG
Aug 31, 2021
very tough and interesting course...i have only a basic knowledge about analyst, but this course i learn so much thing about analyst. really tense, tough and interesting at same time. thank so much
NB
Aug 13, 2021
Very good course and very easily taught during the entire sessions of program.Suggest this course for all those who are interested in refreshing their concepts of Data Analytics in Lean Six Sigma .
From the lesson
Using probability distributions
In this module on using probability distributions, you will learn how to quantify uncertainty. Furthermore you will learn to answer an important business question: “what percentage of products or cases meet our specifications?".