Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Statistical Process Control (SPC) Using Microsoft Excel
Bestseller
Highest Rated
Rating: 4.7 out of 5(2,187 ratings)
9,666 students

Statistical Process Control (SPC) Using Microsoft Excel

Statistical Process Control with Excel: Control Charts, Pareto, Regression, and Data Analysis for Manufacturing Quality
Last updated 5/2026
English

What you'll learn

  • Basic Statistical Concepts
  • Statistical Process Control, SPC
  • Pareto Analysis
  • Variable and Attribute Control Charting
  • Process Capability Analysis
  • Linear and Multiple Regression Analysis
  • Correlation and Excel’s Correlation Matrix
  • Quality Engineering Statistics within Microsoft Excel
  • Key concepts of Quality Engineering and Quality Management

Course content

1 section91 lectures10h 48m total length
  • Introduction to Statistical Process Control10:34

    An introduction to this course and it's four section: Background Statistics and Terminology, Pareto Analysis, Control Charting and Regression Analysis.

  • What is SPC?5:15
  • Types of Data3:29
  • Data Scales4:37
  • Probability Distributions10:11
  • Central Limit Theorem5:33
  • Comments on the Normal Distribution3:41
  • Measures of Central Tendency5:59
  • Measures of Central Tendency in Excel2:08
  • Measures of Dispersion13:03
  • Measures of Dispersion in Excel6:35
  • Quick Quiz on Basic Statistical Concepts
  • Basics Statistical Concepts, Practice Problems1:09

    Use the Excel formulas you learned in this lesson to calculate the summary statistics at the bottom of the first worksheet. The solutions are on the second worksheet.

  • Pareto Analysis2:29
  • Introduction to Pareto Analysis4:39
  • Histograms3:13
  • Ordered Histograms7:58
  • An Introduction to Pivot Tables9:48
  • The Pareto Diagram5:39
  • Pareto Analysis, Part 15:04
  • Pareto Analysis, Part 214:14
  • Pareto Analysis, Part 34:13
  • Quick Quiz on Pareto Analysis
  • Pareto Analysis, Practice Problems and Worksheets2:24
  • Introduction to Control Charting5:45
  • Control Chart Terminology8:18
  • X-Bar and R Chart, Part 13:07
  • X-Bar and R Chart, Part 215:31
  • X-Bar and R Chart, Part 34:47
  • X-Bar and s Chart, Part 12:35
  • X-Bar and s Chart, Part 28:30
  • Individual X and Moving Range Chart, Part 12:55
  • Individual X and Moving Range Chart, Part 210:06
  • The p Chart, Part 12:43
  • The p Chart, Part 218:26
  • The np Chart, Part 12:38
  • The np Chart, Party 27:39
  • The c Chart, Part 13:13
  • The c Chart, Part 26:10
  • The u Chart, Part 11:52
  • The u Chart, Part 27:39
  • u Chart Addendum5:31
  • Interpreting Control Charts, Part 12:39
  • Interpreting Control Charts, Part 212:18
  • Interpreting Control Charts, Part 38:25
  • Quick Quiz on Control Charting
  • Control Charting, Excel Workbooks4:21
  • Process Capability Analysis7:03
  • Manufacturing Process Development, Part 15:59
  • Manufacturing Process Development, Part 24:58
  • Manufacturing Process Development, Part 33:13
  • Manufacturing Process Development, Part 42:47
  • Groundwork for Process Capability Analysis16:33
  • Measurement Systems, Part 112:01
  • Measurement Systems, Part 28:47
  • Sampling Options, Part 15:57
  • Sampling Options, Part 214:08
  • The Normal Distribution and Sampling Size8:32
  • Arithmetic Mean3:43
  • Standard Deviation8:51
  • Building Histograms11:01
  • Data Analysis Add-in For Excel2:11
  • The Normal Distribution, Part 111:04
  • The Normal Distribution, Part 25:26
  • Skew and Kurtosis7:07
  • Plotting the Distibution8:54
  • Pp and Ppk, Part 18:39
  • Pp and Ppk, Part 25:43
  • Pp and Ppk, Part 314:00
  • Pp and Ppk for a Sample7:08
  • The Run Chart Explained3:33
  • Cp and Cpk, Part 16:11
  • Cp and Cpk, Part 23:38
  • Interpreting Capability Indices, Part 116:01
  • Interpreting Capability Indices, Part 2 (The Difference between Cpk and Ppk)9:33
  • Interpreting Capability Indices, Part 32:33
  • Interpreting Capability Indices, Part 4 (DPPM)7:53
  • SPC versus PCA7:13
  • Quick Quiz on Capability Analysis
  • Capability Analysis, Excel Workbooks5:29
  • Regression Analysis2:56
  • An Introduction to Regression Analysis10:02
  • Correlation10:38
  • The Correlation Matrix12:11
  • Excel's Trendline Feature11:07
  • The Equation of a Line6:50
  • Interpreting the Regression Line4:00
  • Minimizing the Residuals6:53
  • Excel's Goal Seek8:03
  • Regression Analysis Output13:17
  • Using Confindence Intervals5:12
  • Multiple Regression Case Study12:48
  • Regression Analysis Excel Workbook1:59
  • Closing Comments on Course4:03
  • Bonus Lecture16:04

Requirements

  • Manufacturing background is helpful
  • Microsoft Excel experience is helpful

Description

Unlock the full potential of your manufacturing process data and drive continuous improvement across your organization with this comprehensive, hands-on course. Designed for manufacturing, quality, and engineering professionals, this course equips you with the practical skills needed to analyze, interpret, and report process data effectively using Microsoft Excel.

This course is divided into four key sections:

1. Foundations of Statistics for Manufacturing and Quality

Even if you're new to statistics or Excel, we start from the basics. Learn the core concepts like Measures of Central Tendency, Dispersion, and Data Scales, which are fundamental for effective process analysis. I’ll guide you step-by-step through Excel to calculate these statistics quickly, with easy-to-follow examples that connect directly to real-world manufacturing scenarios.

2. Powerful Pareto Analysis for Prioritizing Improvement

Many professionals underestimate the power of Pareto analysis. Learn how to apply the “80/20 Rule” to identify the most impactful areas for improvement in your processes. I'll also introduce you to Excel’s Pivot Tables—an indispensable tool for organizing and analyzing your data, making decision-making faster and more efficient.

3. Mastering Control Charting for Process Monitoring

Control charts are the backbone of SPC. This section shows you how to use them to monitor your processes over time, highlight trends, and identify areas for improvement. You’ll explore seven types of control charts—both for variable and attribute data—and I’ll teach you how to interpret them with practical Excel demonstrations. You’ll also get reference tools and Excel reports you can implement in your own projects.

4. Regression Analysis for Predicting and Optimizing Processes

Unlock the power of Regression Analysis to define relationships between variables and make accurate predictions about your process performance. Whether it’s Simple Linear or Multiple Linear Regression, this section builds the foundation for analyzing the cause-and-effect relationships in your manufacturing processes, and lays the groundwork for more advanced statistical techniques.

What’s Included:

  • Practical, Hands-On Learning: With detailed Excel worksheets and real-life examples, you'll not only understand the theory but also apply it to improve your daily processes.

  • Ready-to-Use Excel Templates: Use the same tools I demonstrate in the course for your own work, saving time and enhancing your process improvement initiatives.

  • Exam Prep Support: If you’re preparing for certifications like ASQ Certified Quality Engineer, Six Sigma Green Belt, or Black Belt, this course will provide a solid foundation in the statistical techniques you’ll need to pass.

  • LIFETIME ACCESS to all course materials AND all other materials we may add later.

  • A Certificate of Completion with your name, the course's name, and the time duration of the course (useful for fulfilling the need of some CEU requirements)

  • Q&A access through the Udemy platform to a 30+ year manufacturing, quality, engineering, and business professional.

Join the 9,000+ professionals who have already taken this class who can now successfully leverage SPC to enhance their manufacturing processes and quality initiatives.

What Students Are Saying:

"This is by far the best course I've taken on Udemy! Very well structured and provided a comprehensive overview of SPC. A gem on Udemy!" – Greg S.

"An invaluable resource for any quality professional looking to excel!" – Sachin K.

"What could otherwise be rather dry and boring information, has been delivered in an engaging manner. Ray is clearly very knowledgeable and passionate about the topic." - Chad B.

"Ray is very knowledgeable and explains each topic in depth. I would be interested in other courses he teaches." - Emily

"It's a very complete course even if you are in a beginner or in an advanced level; examples used are very illustrative and helpful" - Francisco P.

"Great course. Highly recommend for everyone who is working in supply chain manufacturing operation." - Siriluck S.

"Clear and concise explanations with examples to illustrate concepts; uses practical examples to illustrate the theory." - Tom F.

PLUS over 1,700 5-star reviews!!

Sign up today and take the next step in your career.

Who this course is for:

  • Quality Engineers, Manufacturing Engineers, Process Engineers, Quality Managers
  • Six Sigma Green Belts, Six Sigma Black Belts, Continuous Improvement Engineers, Operations Managers
  • Industrial Engineers, Production Supervisors, Quality Technicians, Production Planners
  • Supplier Quality Engineers, Lean Manufacturing Specialists, Test Engineers, Data Analysts
  • Calibration Technicians, Process Development Engineers, Plant Managers, Project Engineers
  • Technical Trainers, ASQ Certification Candidates (CQEs, CQTs, CQIAs), Operations Analysts