- Level Professional
- المدة 10 ساعات hours
- الطبع بواسطة University of Colorado Boulder
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Offered by
عن
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://www.coursera.org/degrees/master-of-science-data-science-boulder.الوحدات
Introduction to Stability and Capability in Quality Improvement
1
Discussions
- Introduce Yourself!
1
Videos
- Working in RStudio
2
Readings
- Earn Academic Credit for your Work!
- Course Support
Examine a Process and Break Down Components of Variation
6
Videos
- Process Variation
- Common and Special Cause Variation
- Purpose of a Control Chart
- Conformance Quality
- The Product and Process Control Cycles
- Process Dominance
Understand How to Use, Select, and Interpret Process Control Charts
6
Videos
- Control Chart Basics
- Creating a Control Chart - Steps 1 and 2
- Creating a Control Chart - Step 2 (continued)
- Creating a Control Chart - Step 3
- Creating a Control Chart - Step 4
- Creating a Control Chart - Steps 5, 6 and 7
Discussion: Process Variation, Process Control, and Control Charts
1
Discussions
- Process Variation, Process Control, and Control Charts
Assessment: Process Variation, Process Control, and Control Charts
1
Quiz
- Process Variation, Process Control and Control Charts
Xbar and R Charts
3
Videos
- Mean and Range Charts - Part 1
- Mean and Range Charts - Part 2
- Mean and Range Charts - Part 3
Xbar and S Charts
2
Videos
- Mean and Standard Deviation Charts - Part 1
- Mean and Standard Deviation Charts - Part 2
X and MR Charts - Normally Distributed
4
Videos
- Individuals and Moving Range Charts - Part 1
- Individuals and Moving Range Charts - Part 2
- Individuals and Moving Range Charts - Part 3
- Individuals and Moving Range Charts - Part 4
Advanced Applications of the X and MR Chart
2
Videos
- Setup Dominant Processes
- Machine Dominant Processes
Discussion: Xbar and R / Xbar and S Charts / X and MR Charts
1
Discussions
- Xbar and R / Xbar and S Charts / X and MR Charts
Assessment: Xbar and R / Xbar and S Charts / X and MR Charts
1
Quiz
- Xbar and R / Xbar and S Charts / X and MR Charts
Introduction to X and MR Charts Non-Normal
1
Videos
- Introduction
X and MR Charts - Log Transformed Non-Normal Data
2
Videos
- Log Transformed Data - Part 1
- Log Transformed Data - Part 2
X and MR Charts - Exponentially Distributed Data
3
Videos
- Exponential Data - Part 1
- Exponential Data - Part 2
- Exponential Data - Part 3
X and MR Charts - Distribution Fitting
6
Videos
- Introduction to Distribution Fitting
- Goodness of Fit Testing - One Distribution
- Goodness of Fit Testing - Multiple Distributions
- The Johnson Distribution - Part 1
- The Johnson Distribution - Part 2
- Selecting the Best Fit and Creating the Control Chart
Discussion: X and Moving Range Charts for Non-Normally Distributed Data
1
Discussions
- X and Moving Range Charts for Non-Normally Distributed Data
Assessment: X and Moving Range Charts for Non-Normally Distributed Data
1
Quiz
- X and Moving Range Charts for Non-Normally Distributed Data
Introduction to Capability
4
Videos
- Process Control vs Process Capability
- Capability Indices
- Cpm and the Taguchi Loss Function
- Capability vs Performance Measures
Capability / Performance for Normally Distributed Processes
5
Videos
- Capability / Performance - Xbar and R chart Part 1
- Capability / Performance - Xbar and R chart Part 2
- Capability / Performance - Xbar and s chart Part 1
- Capability / Performance - Xbar and s chart Part 2
- Capability / Performance - X and MR chart
Capability / Performance for Non-Normally Distributed Processes
7
Videos
- Capability / Performance - Transformed Data Part 1
- Capability / Performance - Transformed Data Part 2
- Capability / Performance - Transformed Data Part 3
- Capability / Performance - Exponential Part 1
- Capability / Performance - Exponential Part 2
- Capability / Performance - Distribution Fitting Part 1
- Capability / Performance - Distribution Fitting Part 2
Discussion: Process Capability
1
Discussions
- Process Capability
Assessment: Process Capability
1
Quiz
- Process Capability
Introduction to Attribute / Discrete Control Charts
1
Videos
- Introduction to Attribute Control Charts
p Charts for Attribute Data - Binomial Distribution
3
Videos
- p Charts - Part 1
- p Charts - Part 2
- p Charts - Part 3
np Charts for Attribute Data - Binomial Distribution
3
Videos
- np Charts - Part 1
- np Charts - Part 2
- np Charts - Part 3
c Charts for Attribute Data - Poisson Distribution
3
Videos
- c Charts - Part 1
- c Charts - Part 2
- c Charts - Part 3
u Charts for Attribute Data - Poisson Distribution
2
Videos
- u Charts - Part 1
- u Charts - Part 2
Discussion: Attribute / Discrete Control Charts
1
Discussions
- Attribute / Discrete Control Charts
Assessment: Attribute / Discrete Control Charts
1
Quiz
- Attribute / Discrete Control Charts

Wendy Martin