Free IASSC Green Belt Training
Lean Six Sigma
Price
Free
How
Fully online
When
When you want / contents is always available
Main contents of the trainings
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Advanced Lean Six Sigma principles
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In-depth DMAIC methodology
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Mastery of statistical tools
Introduction
Step up your expertise with our Lean Six Sigma Green Belt Training, aligned with the IASSC's Green Belt Body of Knowledge. This advanced training program is designed for those ready to deepen their understanding of Lean Six Sigma principles and tackle more complex projects. Following the curriculum outlined on the IASSC website, our course ensures that the material is accurate, up-to-date, and fully prepares you for the Green Belt certification exam.
Our program dives into advanced aspects of the Lean Six Sigma methodology, including a thorough exploration of the DMAIC (Define, Measure, Analyze, Improve, Control) approach, sophisticated problem-solving tools, and strategies for quality improvement and waste reduction. By participating in this training, you'll gain the skills necessary to lead Lean Six Sigma projects and make a significant impact in your organization.
We invite you to review the comprehensive table of contents of our training, which mirrors the IASSC Green Belt Body of Knowledge. This commitment to adhering to the IASSC standards means you're getting a top-tier education that not only meets but exceeds what's expected for Green Belt certification readiness.
Embark on this educational journey to enhance your process improvement capabilities and advance your career. Join our Lean Six Sigma Green Belt Training program and position yourself as a valuable asset in any quality management role.
For more details about the IASSC and the Green Belt Body of Knowledge, please visit: IASSC Green Belt Body of Knowledge.
Please note that while the training provided here is free, successful completion of the examination requires a fee. Access the examination link here.
Table of content IAASC Green belt
Table of content Google sheet
Here is the Table of Contents for the IASSC Green Belt, which you can access as a Google Doc.
I suggest downloading this Google Sheet and highlighting the cells/articles that you have read.
Table of content links:
0.1 Quick Overview of Lean Six Sigma:
Quick Overview of Lean Six Sigma
Importance of the Green Belt Certification
What to Expect from This Course
IASSC Green Belt vs ASQ Green Belt
Time Management and Study Tips
Encouragement and Motivational Tips
Common Questions Answered - GB
How to Give Feedback on the Course
1.0 Define Phase:
1.1 The Basics of Six Sigma
Key Principles of Six SigmaSix
Sigma Methodology Overview
Understanding Process Variability
History and Evolution of Six Sigma
Key people in the history of lean Six Sigma
Deliverables of a Lean Six Sigma Project
The Problem Solving Strategy Y = f(x)
Other roles in Six Sigma Projects
1.2 The Fundamentals of Six Sigma:
Overview and Importance of DMAIC in Six Sigma
Definition of Process
Understanding Current Processes
Critical to Quality Characteristics (CTQ’s)
List of KPI for Project Selection
1.3 Selecting Lean Six Sigma Projects:
Setting Project Objectives and Scope
Financial Impact and ROI Considerations
Identifying the Problem
Creating a Project Charter
List of KPI for Project Selection
Financial Evaluation & Benefits Capture
1.4 The Lean Enterprise:
Lean vs. Traditional Management
Employee Engagement and Empowerment
Kaizen (Continuous Improvement)
“Lean” in Lean Six Sigma
“Six Sigma” In Lean Six Sigma
2.0 Measure Phase:
2.1 Process Definition
Understanding Current Processes
Value Stream Mapping
Process Mapping
SIPOC
Value-Added and Non-Value-Added Analysis
2.2 Six Sigma Statistics:
Role of Statistics in Six Sigma
Basic Statistical Concepts
Basic Probability Concepts
Events in Probability
Z-Scores in Process Performance
Z-Scores questions examples
Graphical Analysis
2.3 Measurement System Analysis:
Measurement System Analysis
Importance of Measurement System Analysis in Six Sigma
Validating Measurement Systems
Basic Concepts and Terminology
Assessing Precision and Repeatability
Understanding Accuracy and Bias
Gage Repeatability & Reproducibility
Planning and Conducting a GR&R Study
Variable Measurement Systems
Attribute Measurement Systems
2.4 Process Capability:
Process Capability Definition and Importance
Short-term vs. Long-term Capability
Process Capability Indices: Cp, Cpk, Pp, Ppk
Capability Analysis
Process centering
Z-Scores in Process Performance
Tools and Techniques for Capability
Analysis with Attributes Data
Evaluating Stability Over Time
Understanding Attribute Data in Process Capability
Tools and Techniques for Capability
Analysis with Attributes Data
Strategies for Improving Process Capability
3.0 Analyze Phase
3.1 Patterns of Variation
Distinguishing Between Common and Special Causes
Process Adjustment and Improvement
Multivariate Analysis Techniques
DistributionTriangular Distribution
3.2 Inferential Statistics
Overview of Inferential Statistics in Six Sigma
Role of Inferential Statistics in Decision Making
3.3 Hypothesis Testing
Definition and Purpose of Hypothesis Testing
Data Analysis and Hypothesis Testing
Selection of Significance Level (α)
Decision Rule Based on P-value or Critical Value
Type II Error (False Negative)
Significance; Practical vs. Statistical
Selection of Significance Level (α)
3.4 Hypothesis Testing with Normal Data
Characteristics of Normal Distribution
3.5 Hypothesis Testing with Non-Normal Data
Significance of Non-Normal Data in Process Improvement
Basic Concepts and Terminology
Causes and Implications of Non-Normality
Formulating Hypotheses for Non-Normal Data
Friedman Test
Chi-Square Test for Independence
Common Challenges in Non-Normal Hypothesis Testing
Best Practices for Reliable Results
4.0 Improve Phase
4.1 Simple Linear Regression
Importance in Lean Six Sigma - Overview of Regression Types
Definition and Key Concepts - Role in Predictive Modeling
Hypothesis Testing with Regression Analysis
Linearity - Homoscedasticity - Normality - Independence
Pearson and Spearman Correlation
CoefficientsCorrelation Coefficient Test
Step -by -Step Model Building Process
Diagnosing Model Fit - Residual Analysis
Handling Missing Data and Outliers
4.2 Multiple Regression Analysis
Model Building in Multiple Regression
Conceptual Differences from Simple Regression - Benefits and Complexities
Types of Variables: Continuous, Categorical - Incorporating Interaction Terms
Validation Approaches - Prediction Accuracy Measures
Diagnosing Model Fit - Residual Analysis
Data Transformation Techniques
5.0 Control Phase:
5.1 Lean Controls
Definition and Importance of Lean Controls
Principles of Lean Thinking in Control Systems
Implementation of Visual Control
ToolsBenefits of Visual Management
Continuous Improvement and Auditing
Sustaining Lean in the Long Term
Techniques and Examples of Poka-Yoke
5.2 Statistical Process Control (SPC)
Definition and Importance of SPC in Six Sigma
Selecting the Right Type of Chart
Individual-Moving Range (I-MR) Chart
U Chart (Defects per Unit Chart)
NP Chart (Number Defective Chart)
CUSUM Chart (Cumulative Sum Control Chart)
EWMA Chart (Exponentially Weighted Moving Average)
Steps to Implement Control Charts
5.3 Six Sigma Control Plans:
Purpose and Importance in Six Sigma
Developing Control Plans
Overview of Control Plan Components
Setting Control Limits
Use of Control Charts
Response Plans for Process Deviations
6.0 Extra notes
Overview of the Certification Exams
The IASSC Lean Six Sigma Green Belt Exam
Cheat Sheets and Quick Reference Guides
The Two Most Important Charts in Lean Six Sigma
Mock Exams and Practice Questions
Handling Exam Anxiety and Stress
Post-Exam Steps: What to Do After the Exam
Continuing Education and Next Steps in Your Lean Six Sigma Journey