Statistical Process Control (SPC) Using Microsoft Excel

A Deep Dive into Analyzing your Process Data to Drive Quality Improvements within your Organization
4.70 (1900 reviews)
Udemy
platform
English
language
Operations
category
Statistical Process Control (SPC) Using Microsoft Excel
8 649
students
11 hours
content
Apr 2025
last update
$84.99
regular price

What you will 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 Gallery

Statistical Process Control (SPC) Using Microsoft Excel – Screenshot 1
Screenshot 1Statistical Process Control (SPC) Using Microsoft Excel
Statistical Process Control (SPC) Using Microsoft Excel – Screenshot 2
Screenshot 2Statistical Process Control (SPC) Using Microsoft Excel
Statistical Process Control (SPC) Using Microsoft Excel – Screenshot 3
Screenshot 3Statistical Process Control (SPC) Using Microsoft Excel
Statistical Process Control (SPC) Using Microsoft Excel – Screenshot 4
Screenshot 4Statistical Process Control (SPC) Using Microsoft Excel

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Our Verdict

This SPC course using Microsoft Excel offers in-depth knowledge and real-life examples, making it especially valuable for beginners in quality improvement fields. Although additional exercises and more robust interactivity would further boost its impact, the provided resources, expertise, and well-articulated subject matter deliver an excellent learning experience.

What We Liked

  • Thoroughly explained concepts and interpretations of Statistical Process Control (SPC) using Microsoft Excel
  • Comprehensive coverage of key Quality Engineering Statistics, such as Pareto Analysis, control charting, and regression analysis
  • Helpful examples that illustrate manufacturing as well as financial services applications
  • Instructor's emphasizes the \
  • of statistical analysis alongside the whats, hows, and whys

Potential Drawbacks

  • Limited practice activities and answer reviews might hinder experiential learning
  • Audio quality in some videos can be improved for better clarity
  • Additional exercises would greatly help enhance students' engagement and understanding
  • Lack of industry-specific examples may necessitate increased user creativity to apply lessons effectively
2108234
udemy ID
26/12/2018
course created date
28/09/2019
course indexed date
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