Name: Stability and Capability in Quality Improvement
Brand: University of Colorado Boulder
Availability: OnlineOnly
Rating: 4.1 (5 reviews)

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课程概述

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 https://hua.dididi.sbs/degrees/master-of-science-data-science-boulder....

1 - Stability and Capability in Quality Improvement 的 4 个评论（共 4 个）

创建者 Zhaoyang L

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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!

创建者 Mark C

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Jan 18, 2025

Rude professor who simply reads the bullet points off the black and white slides 90%+ of the time. For those taking this course as part of CU Boulder's MSDS program, any response to student questions in the Slack channel from her was simply "email me", meaning students couldn't learn from fellow students. Starter code for some parts was missing in the Coursera content; I had to scroll back several semesters in the Slack channel to find it. Why wasn't this added to the course content over the subsequent several iterations of the course? Minimal attempt to explain the "why" behind any of the "what". 9-hour time estimate to completion is a vast underestimation. It probably took me 40+ collective hours.