A classroom training

Course Summary

This course delivers a comprehensive Lean Six Sigma Green Belt experience, combining structured DMAIC methodology with practical, hands-on data analysis using Jamovi (powered by R). Jamovi is an open-source, free, and user-friendly statistical software that enables participants to perform advanced analysis through an intuitive interface, without requiring coding knowledge.

Aligned with the full DMAIC roadmap, the course guides participants through defining business problems, measuring process performance, analyzing root causes, implementing improvements, and sustaining results. Each phase is supported by real-world scenarios and applied tools, including process mapping, statistical analysis, hypothesis testing, regression, design of experiments, and control charts. The focus is on applying Lean Six Sigma tools in a practical context using data to drive decisions, validate improvements, and monitor performance. By integrating Jamovi throughout the journey, participants gain the ability to confidently analyze data, interpret results, and support continuous improvement initiatives in an accessible and efficient way.

Course Learning Outcomes

Having completed this course, you will be able to:

  • Apply the DMAIC methodology to real-world business problems.
  • Use Jamovi for statistical analysis without requiring coding knowledge.
  • Understand core Lean Six Sigma concepts including waste reduction and process improvement.
  • Perform data analysis including descriptive statistics, hypothesis testing, and regression.
  • Interpret statistical outputs to support decision-making.
  • Conduct Measurement System Analysis (MSA) and Process Capability studies.
  • Apply Design of Experiments (DOE) for process optimization.
  • Use control charts to monitor and sustain process performance.
  • Leverage R-powered features within Jamovi for advanced analytics.

Course Audience

  • Quality and process improvement professionals.
  • Engineers and operations specialists.
  • Business analysts and data-driven decision makers.
  • Managers and team leaders involved in continuous improvement.
  • Professionals seeking practical Lean Six Sigma certification.
  • Individuals interested in learning statistical analysis using accessible tools.

Course Outline

  • Introduction to Lean Six Sigma
    • What is Six Sigma?
    • Evolution of Six Sigma
    • Strategy
    • Methodology
    • Roles & Responsibilities
    • Organizational Culture
    • Lean Concepts
    • Lean Techniques
    • Theory of Constraints
  • Customer-Focused Process Essentials
    • Process Focus
    • Understanding Customers
    • Team Dynamics and Performance
    • Effective Communication Strategies
  • Define Phase
    • Project Definition & Business Justification
    • Project Scope & Process Understanding
    • Project Planning & Stakeholder Alignment
      • Stakeholder Analysis
      • Project Team
      • Project Milestones
      • Project Planning Tools
      • Project Documentation
      • Project Charter
      • Project Kick-off
  • Measure Phase
    • Process Analysis
      • Process Modeling & Documentation
      • Process Inputs & Outputs
    • Collecting Data
      • Jamovi Overview
      • Data Types
      • Measurement Scales
      • Data Collection
      • Accuracy and Integrity
    • Summarizing Data
      • Descriptive Statistics
      • Graphical Representation
      • Fundamental Statistical Concepts
    • Probability
      • Probability Concepts
      • Probability Distributions
    • Measurement System Analysis (MSA)
      • Gage System Characteristics
      • Repeatability and Reproducibility (R&R)
      • Measurement Correlation
    • Process Capability Measurement
      • Capability Studies
      • Performance vs. Specifications
      • Process Capability for Attribute Data
  • Analyze Phase
    • Purpose & Overview of Analyze Phase
    • Root Cause Identification Techniques
      • 8 Wastes
      • 5S
      • Flow Chart / Process Map Review
      • Cause & Effect (Ishikawa) Diagram
      • 5 Whys
      • Pareto Analysis
    • Exploratory Data Analysis (EDA)
    • Hypothesis Testing
      • Basic Concepts
      • Confidence Interval Estimation
      • Hypothesis Tests
        • Hypothesis Tests for Means
        • Hypothesis Tests for Proportions
        • Paired-Comparison Hypothesis Tests
        • Chi-Square Test
      • Analysis of Variance (ANOVA)
  • Improve Phase
    • Purpose & Overview of Improve Phase
    • Idea Generation Methods
    • Solution Selection & Prioritization
    • Risk Assessment & FMEA
    • Lean Tools for Process Improvement (review)
    • Design of Experiments (DOE)
      • Introduction & Purpose
      • DOE Basics
      • Types of DOE Designs
    • Pilot Testing & Validation
    • Cost-Benefit & Financial Justification
  • Control Phase
    • Purpose & Overview of Control Phase
    • Overview of Tools and Methods Used
    • Process Control & Monitoring
    • Control Charts
      • Types of Control Charts
      • Control Charts for Variables
      • Understanding Patterns and Rules
      • Control Charts for Attributes
    • Control Plan Development
      • Purpose of a Control Plan
      • Types of a Control Plan
      • Inputs to a Control Plan
      • Elements of a Control Plan
    • Other Control Tools
      • Linking Standard Work, SOPs, and WI
      • Visual Controls
      • 5S Reinforcement
      • Audit and Compliance Mechanisms
    • Sustaining Improvements
      • Documenting Lessons Learned
      • Training & Handover Planning
      • Continuous Improvement