In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability. Additionally, you will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement.
Stability and Capability in Quality Improvement
Stability and Capability in Quality Improvement
This course is part of Data Science Methods for Quality Improvement Specialization
Instructor: Wendy Martin
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2,412 already enrolled
Gain insight into a topic and learn the fundamentals.
17 reviews
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand how to use, select, and interpret process control charts to identify special causes of variation
Create and interpret control charts for normal and non-normal distributions
Create and interpret control charts for discrete data
Analyze the capability of a process to meet customer specifications
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
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Assessments
5 assignments
Taught in English
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This course is part of the Data Science Methods for Quality Improvement Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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ZL
Reviewed on Aug 1, 2022
Good case study for the proactice of the SPC with the R programing! It is quite challendge but happy to pass the course finally!
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