Statistical Process Control
Learn quality management fundamentals, differentiates quality control from quality assurance, and demonstrates the Seven Basic Quality Tools, concluding with a practical case study.

Classes Start Available Anytime
Course Overview
Statistical Process Control focuses on enhancing quality. Quality management not only adds value for customers and stakeholders but also enables data-driven decision-making, giving organizations a competitive edge. This intermediate-level course covers the fundamentals of quality management, distinguishing between quality control and quality assurance, and demonstrating the application of the Seven Basic Quality Tools. The course concludes with a case study to illustrate the key concepts.
Course Format
This self-paced course offers a dynamic and engaging learning experience, combining interactive elements such as games, flashcards, video content, real-world case studies, and curated readings. Participants have the flexibility to progress at their own pace, while interactive games and quizzes reinforce key concepts and track progress. Flashcards, expert-led videos, real-world case studies, and carefully curated readings deepen knowledge.
Price
$375Course Details
Units 0.5 CEUs / 5 PDUs
Location Online Courses
Course Type Self-Paced
What You’ll Learn
After successful completion of this course, you will be able to:
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Understand the principles guiding quality management activities and various quality management programs.
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Use the Plan-Do-Check-Act cycle to coordinate work, implement change, and apply quality analysis and planning approaches.
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Differentiate between quality control and quality assurance.
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Create a SIPOC diagram to visualize work processes.
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Explain the role of metrics and statistics in measuring and controlling work processes.
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Utilize the Seven Basic Quality Tools to monitor, control, process non-numerical data, and develop comprehensive quality plans and solutions based on a case study.