Quality Analytics

Course Overview

A practical, data‑driven course that teaches learners how to measure, analyse, and improve process and product quality using statistical and analytical methods. The course covers quality metrics, defect analysis, root‑cause techniques, statistical process control, process capability, dashboards, and continuous improvement frameworks used across manufacturing, services, and operations.

Target Audience

• Quality analysts and quality assurance professionals

• Operations, manufacturing, and process improvement teams

• Lean, Six Sigma, and continuous improvement practitioners

• Data analysts supporting quality and efficiency functions

• Students or professionals entering quality or operations analytics

Course Outcomes

• Understand key quality metrics, KPIs, and analytical frameworks

• Analyse defects, variation, and process performance using data

• Apply root‑cause analysis and structured problem‑solving techniques

• Use statistical quality control tools such as control charts and capability indices

• Evaluate process efficiency and identify improvement opportunities

• Build and interpret quality dashboards and performance reports

• Support Lean, Six Sigma, and continuous improvement initiatives with analytics

• Communicate quality insights clearly to operations and leadership teams