Comparison table

Courses comparison table

LSS Yellow Belt

Course online duration


20 PDU



LSS Green Belt

Course online duration

75 Hours

45 PDU



LSS Black Belt

Course online duration

100 Hours

60 PDU



Define Phase      
The Basics of Six Sigma
Meaning of Six Sigma
General History of Six Sigma & Continuous Improvement
Deliverables of a Lean Six Sigma Project
 The Problem Solving Strategy Y = f(x)
Voice of the Customer, Business and Employee
 Six Sigma Roles & Responsibilities
The Fundamentals of Six Sigma      
Defining a Process
Critical to Quality Characteristics (CTQ’s)
Cost of Poor Quality (COPQ)    
Pareto Analysis (80:20 rule)      
Basic Six Sigma Metrics      
Selecting Lean Six Sigma Projects      
Building a Business Case & Project Charter
Developing Project Metrics
Financial Evaluation & Benefits Capture
The Lean Enterprise      
Basics of Lean
History of Lean
Lean & Six Sigma Integration
The Seven Elements of Waste
Straighten, Shine, Standardize, Self-Discipline, Sort
Measure Phase      
Process Definition      
Cause & Effect / Fishbone Diagrams
Process Mapping, SIPOC, Value Stream Map
X-Y Diagram
Failure Modes & Effects Analysis (FMEA)
Lean Six Sigma Statistics      
Basic Applied Statistics
Descriptive Statistics
Graphical Analysis
Measurement System Analysis      
Precision & Accuracy
Bias, Linearity & Stability
Gage Repeatability & Reproducibility
Variable & Attribute MSA
Process Capability      
Capability Analysis
Concept of Stability
Attribute & Discrete Capability
Monitoring Technique
Analyze Phase      
Patterns of Variation      
Multi-Vari Analysis  
Classes of Distributions  
Inferential Statistics      
Understanding Inference  
Sampling Techniques & Uses  
Central Limit Theorem  
Hypothesis Testing      
General Concepts & Goals of Hypothesis Testing  
Significance; Practical vs. Statistical  
Risk; Alpha & Beta  
Hypothesis Testing with Normal Data      
sample & 2 sample t-tests  
One-Way ANOVA  
Two-Way ANOVA  
Hypothesis Testing with Non-Normal Data      
Mood’s Median  
Sample Sign  
Sample Wilcoxon  
One and Two Sample Proportion  
Chi-Squared (Contingency Tables)  
Improve Phase      
Simple Linear Regression      
Regression Equations  
Residuals Diagnostics Analysis  
Multiple Regression Analysis      
Non-Linear Regression  
Multiple Linear Regression  
Confidence & Prediction Intervals  
Residuals Diagnostics Analysis  
Data Transformation, Box Cox Technique  
Designed Experiments      
Experimental Objectives    
Experimental Methods    
Experiment Design Considerations    
Full Factorial Experiments      
Full Factorial Designs    
Linear & Quadratic Mathematical Models    
Balanced & Orthogonal Designs    
Fit, Diagnose Model and Center Points    
Fractional Factorial Experiments      
Confounding Effects    
Experimental Resolution    
Advanced Experiments      
Steepest Ascent Analysis    
Control Phase      
Lean Controls      
Control Methods for 5S
Kanban (Pull Systems)
Poka-Yoke (Mistake Proofing)  
Statistical Process Control (SPC)      
Data Collection for SPC  
I-MR Chart  
Xbar-R Chart  
U Chart  
P Chart  
NP Chart    
Xbar-S Chart    
CumSum Chart    
EWMA Chart    
Control Methods
Control Chart Anatomy
Subgroups, Impact of Variation, Frequency of Sampling    
Center Line & Control Limit Calculations    
Six Sigma Control Plans      
Cost Benefit Analysis
Elements of the Control Plan  
Elements of the Response Plan
Monte Carlo Simulation    
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