Master Minitab Software with Theory, Examples and Case Studies
What you'll learn
Design of Experiments
Capability Analysis: Cp, Cpk, Pp, Ppk, Sigma Level
One Way ANOVA
Two Way ANOVA
Blocking and CenterPoints in DOE
Measurement System Analysis
Accuracy and Precision Errors
Bias Linearity and Stability
Gage Repeatability and Reproducibility
Correlation and Regression
Capability analysis for Non-normal data
Box Cox Transformation
Johnson Transformation
Requirements
Minitab Software which you can download from the official website from Minitab, where you can get 30 days free trail
Open-mindedness and willingness to learn
Description
In this course we have 7 different sections.
In Section 1 we have introduction where we will look at Agenda of course.
Next In section 2 and section 3 we have Process Capability where we will look at process capability indices like cp, cpk, pp, ppk, sigma level and parts per million for both normal data and non-normal data both theory and case studies using minitab.
Next in In Section 4 one way and two way ANOVA concepts using hypothesis tests using F and P values both theory and case studies using Minitab.
Similarly in section 5 we will talk about correlation and regression concepts with theory and examples using Minitab.
In section 6 we will discuss about measurement system analysis and how gage r and r studies are conducted in Minitab using theory and examples.
Finally in section 7 we will talk about design of experiments including blocking and ceterpoints concepts using Minitab and examples.
Who this course is for:
The ideal student for this course is anyone who wants to learn and understand data analysis using Minitab or a professional who wants to expand on their current skills. There are no requirements necessary to enroll. I only ask to come open-minded and ready to learn.

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