Master Quality Management: Apply SPC, Six Sigma & Lean

Coursera MOOC / Non-credit USD 49
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Master Quality Management: Apply SPC, Six Sigma & Lean

About this course

Deliver consistent quality and drive continuous improvement with a practical understanding of modern quality management techniques. In Master Quality Management: Apply SPC, Six Sigma & Lean, you will learn how to apply Statistical Process Control (SPC), use proven quality improvement tools, implement Six Sigma methodologies, and evaluate advanced quality systems that support long-term operational excellence. The course begins with SPC methods and charts to help you monitor process variation, detect process shifts, and improve process stability. You will then explore essential quality improvement tools, including Pareto charts, Ishikawa diagrams, run charts, scatter plots, histograms, and brainstorming techniques to identify root causes and support effective decision-making. Next, you will examine Six Sigma foundations, DMAIC, DMADV, benchmarking, and Total Productive Maintenance (TPM) to reduce defects and strengthen process capability. Finally, you will learn advanced quality systems such as Quality Function Deployment (QFD), Failure Mode and Effects Analysis (FMEA), Kaizen, Lean, Poka-Yoke, and Quality Circles to build reliable, customer-focused, and error-proof processes. Designed for students, professionals, and quality practitioners, this course combines statistical methods with structured process improvement frameworks, enabling you to analyze variation, solve quality problems, reduce defects, improve efficiency, and sustain continuous improvement across a wide range of organizational processes.

What you'll learn

  • apply Statistical Process Control (SPC) methods
  • use quality improvement tools like Pareto charts and Ishikawa diagrams
  • implement Six Sigma methodologies and the DMAIC process
  • evaluate and apply advanced quality systems

Course objectives

  • understand and monitor process variation
  • identify root causes of quality issues
  • strengthen process capabilities
  • support decision-making with data analysis

Skills you'll gain

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