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.