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Learner Reviews & Feedback for Stability and Capability in Quality Improvement by University of Colorado Boulder

About the Course

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. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at
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1 - 2 of 2 Reviews for Stability and Capability in Quality Improvement

By Zhaoyang L

Aug 2, 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!

By Mervat M

Jul 18, 2022

Its very boring,

There shall be prereqisits of having working knowledge of using R studio .