About this Course

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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Background knowledge in statistics is helpful; visit Managing, Describing, and Analyzing Data as a prerequisite to this course. R / RStudio required.

Approx. 9 hours to complete
English

What you will 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 will gain

  • Analyzing a process for capability
  • Analyzing a process for stability
  • Make decisions about process improvement
  • R Programming
  • Rstudio
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Background knowledge in statistics is helpful; visit Managing, Describing, and Analyzing Data as a prerequisite to this course. R / RStudio required.

Approx. 9 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Understanding Process Variation, Process Control and Control Charts

2 hours to complete
13 videos (Total 80 min), 1 reading, 1 quiz
Week
2

Week 2

2 hours to complete

Xbar and R / Xbar and S Charts / X and MR Charts

2 hours to complete
11 videos (Total 66 min)
Week
3

Week 3

2 hours to complete

X and Moving Range Charts for Non-Normally Distributed Data

2 hours to complete
12 videos (Total 58 min)
Week
4

Week 4

2 hours to complete

Process Capability

2 hours to complete
16 videos (Total 73 min)

About the Data Science Methods for Quality Improvement Specialization

Data Science Methods for Quality Improvement

Frequently Asked Questions

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