Excel: Statistical Process Control Preview

Excel: Statistical Process Control

With Curt Frye Liked by 4,175 users
Duration: 1h 14m Skill level: Intermediate Released: 4/17/2018

Start my 1-month free trial

Course details

Learn how to analyze the accuracy and alignment of manufacturing processes using statistical tools. Veteran Excel trainer Curt Frye covers the three types of charts-P charts, C charts, and X-bar R charts-that are used to summarize the most common process metrics: proportion of defective output, number of defects, and variability of process outputs. He shows how to perform the analysis, plot the data, and interpret the results of each technique. He also how to examine processes from the customer's perspective using process capability analysis. Business analysts and support staff who help prepare documents, as well as executives and senior managers who might not have a statistical background, will use the skills in this course to analyze their organizations' processes and output.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.6 out of 5

321 ratings
  • 5 star
    Current value: 240 74%
  • 4 star
    Current value: 57 17%
  • 3 star
    Current value: 16 5%
  • 2 star
    Current value: 5 1%
  • 1 star
    Current value: 3 <1%

Contents

What’s included

  • Practice while you learn 2 exercise files
  • Test your knowledge 4 quizzes
  • Learn on the go Access on tablet and phone
  • Stay up to date Continuing Education Units

Similar courses

Download courses

Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.