"The structure, the practice exams, the instructor — all top tier. Passed first try."
Course Outline
What the programme covers, module by module.
Module 1: Introduction to Quality Management
- Fundamentals of quality
- Importance of quality management
- Quality improvement concepts
- Customer-focused quality
- Process approach
- Continuous improvement overview
Module 2: Introduction to 7 QC Tools
- Overview of the seven QC tools
- Benefits of quality tools
- Problem-solving methodology
- Data-driven decision making
- Applications across industries
- Tool selection guidelines
Module 3: Check Sheet
- Purpose of check sheets
- Types of check sheets
- Data collection methods
- Recording observations
- Data organization
- Practical applications
Module 4: Pareto Chart
- Pareto Principle (80/20 rule)
- Creating Pareto charts
- Prioritizing problems
- Frequency analysis
- Decision making
- Improvement opportunities
Module 5: Cause and Effect Diagram
- Fishbone diagram fundamentals
- Root cause identification
- Categories of causes
- Brainstorming techniques
- Problem analysis
- Corrective action planning
Module 6: Histogram
- Frequency distribution
- Data visualization
- Variation analysis
- Process performance
- Data interpretation
- Quality assessment
Module 7: Scatter Diagram
- Relationship analysis
- Correlation concepts
- Data plotting
- Trend identification
- Cause-effect relationships
- Decision support
Module 8: Control Chart
- Process control concepts
- Control limits
- Process variation
- Monitoring performance
- Identifying out-of-control conditions
- Process stability
Module 9: Flow Chart
- Process mapping
- Workflow visualization
- Process documentation
- Bottleneck identification
- Process improvement
- Standardization
Module 10: Stratification
- Data classification
- Grouping techniques
- Pattern identification
- Comparative analysis
- Data segmentation
- Quality improvement opportunities
Module 11: Root Cause Analysis
- Problem definition
- Root cause investigation
- Data analysis
- Corrective action planning
- Preventive action
- Continuous monitoring
Module 12: Data Collection & Analysis
- Data gathering techniques
- Sampling methods
- Data accuracy
- Data validation
- Statistical interpretation
- Reporting findings
Module 13: Problem-Solving Methodology
- Structured problem solving
- Improvement planning
- Team collaboration
- Solution implementation
- Performance evaluation
- Continuous improvement
Module 14: Quality Improvement Projects
- Project selection
- Improvement planning
- Tool application
- Performance monitoring
- Documentation
- Results evaluation
Module 15: Capstone Quality Improvement Project
- Quality problem identification
- Selection of appropriate QC tools
- Data analysis
- Root cause identification
- Improvement action plan
- Project presentation
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device