Quality

Quality Course Highlights

Core Quality Awareness

Basics of Data Analytics: Introduction to using data to improve processes and drive informed decision-making.
Business Process Reengineering (BPR) Series: Explains the foundations of BPR, including its purpose, the 3 C’s, characteristics, requirements, and key steps for transforming processes.
CQI Toolkit – Right First Time: Principles and best practices to reduce errors and deliver quality results the first time.
Expert Insights – Understanding Six Sigma: A practical overview of Six Sigma principles and their role in process improvement.
Lean Basics & Principles (Manufacturing): Introduction to lean thinking, reducing waste, and improving efficiency.
Performance Excellence (Part 1): Understanding what drives organizational excellence and quality.
Total Quality Management (TQM) Series (Parts 1–5): Covers the origins of TQM, the PDCA cycle, SIPOC tables, and Deming’s 14 Points to ensure sustainable quality improvements.
Understanding Six Sigma (10-course series): Covers Six Sigma foundations, principles, project selection, metrics, DMAIC steps, process mapping, and building strong Six Sigma teams.

Developing Quality Skills

Business Intelligence – Project Data Analysis: Learn how to leverage data analytics for quality decision-making.
Business Reporting with Power BI: Tools for visualizing and merging data to support quality initiatives.
Continuous Quality Improvement (CQI) Series:
- Charts (8 parts): Using run charts, control charts, Pareto analysis, and more to track process performance.
- Data (5 parts): Selecting and collecting the right data to improve processes.
- Diagrams (5 parts): Using tools like fishbone diagrams, tree diagrams, and radar charts for problem-solving.
- Flow (5 parts): Mapping value streams, creating Gantt charts, and visualizing process flow.
- Overview (3 parts): Understanding CQI disciplines, common failure points, and certification options.
- Statistics (5 parts): Applying statistical tools such as standard deviation, confidence limits, and normal distributions to quality improvement.
CQI Toolkit: Includes 5S, Agile, Kaizen, Kanban, Scrum, Takt Time, and Value Stream Mapping techniques.
Getting Customer Feedback (3 courses): Why feedback matters, how to gather it effectively, and how to handle customer complaints.
Identify Opportunities to Improve: Structured approaches to uncovering process improvement areas.
Lean Six Sigma Series (5 parts): Core tools, principles, and excellence techniques for combining Lean and Six Sigma methodologies.
Software Quality Assurance: Fundamentals of testing and ensuring quality in software development.

Advanced Quality Practices

Advanced Statistics and Data Mining: Techniques for deeper analysis and quality forecasting.
Agile Retrospective: Continuous Improvement with Scrum: Driving ongoing improvement in agile environments.
Data Visualization Best Practices: Creating clear, actionable visuals to communicate quality findings.
Event, Incident, and Problem Management: Managing quality issues from detection to resolution.
Pareto Analysis Masterclass: Applying the 80/20 rule to identify high-impact improvement areas.
Research Methods (Qualitative & Quantitative): Collecting and analyzing data to support quality initiatives.
Six Sigma Mastery Series: Includes Black Belt-level training, DOE experiments, process control, variation management, the 6Ms, the DMAIC method, and root cause analysis using the Five Whys technique.