
Lean Six Sigma Black Belt Curriculum
-
1.0 Define Phase
-
1.1 Overview of Six Sigma
1.1.1 What is Six Sigma
1.1.2 Six Sigma History
1.1.3 Six Sigma Approach Y = f(x)
1.1.4 Six Sigma Methodology
1.1.5 Roles & Responsibilities -
1.2 Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 VOC & CTQ's
1.2.3 QFD
1.2.4 Cost of Poor Quality
1.2.5 Pareto Analysis (80:20 rule) -
1.3 Lean Six Sigma Projects
1.3.1 Six Sigma Metrics
1.3.2 Rolled Throughput Yield
1.3.3 Business Case & Charter
1.3.4 Project Team Selection
1.3.5 Project Risk Management
1.3.6 Project Planning -
1.4 Lean Fundamentals
1.4.1 Lean and Six Sigma
1.4.2 History of Lean
1.4.3 Seven Deadly Muda
1.4.4 Five-S (5S) -
Define Phase Test
Included in the Lean Six Sigma Black Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
2.0 Measure Phase
-
2.1 Process Definition
2.1.1 Cause & Effect Diagram
2.1.2 Cause & Effect Matrix
2.1.3 Process Mapping
2.1.4 Failure Modes & Effects Analysis
2.1.5 Theory of Constraints -
2.2 Six Sigma Statistics
2.2.1 Basic Statistics
2.2.2 Descriptive Statistics
2.2.3 Distributions & Normality
2.2.4 Graphical Analysis -
2.3 MSA
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage R&R
2.3.4 Variable & Attribute MSA -
2.4 Process Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute & Discrete Capability
2.4.4 Monitoring Techniques -
Measure Phase Test
Included in the Lean Six Sigma Black Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
3.0 Analyze Phase
-
3.1 Patterns of Variation
3.1.1 Multi-Vari Analysis
3.1.2 Classes of Distributions -
3.2 Inferential Statistics
3.2.1 Understanding Inference
3.2.2 Sampling Techniques & Uses
3.2.3 Sample Size
3.2.4 Central Limit Theorem -
3.3 Hypothesis Testing
3.3.1 Goals of Hypothesis Testing
3.3.2 Statistical Significance
3.3.4 Risk; Alpha & Beta
3.3.5 Types of Hypothesis Test -
3.4 Hypothesis Tests: Normal Data
3.4.1 1 & 2 sample t-tests
3.4.2 1 sample variance
3.4.3 One Way ANOVA -
3.5 Hypothesis Tests: Non-Normal Data
3.5.1 Mann-Whitney & Mood’s Median
3.5.2 Kruskal-Wallis
3.5.3 Moods Median
3.5.4 Friedman
3.5.5 1 Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 1 and 2 Sample Proportion
3.5.8 Chi-Squared
3.5.9 Test of Equal Variances -
Analyze Phase Test
Included in the Lean Six Sigma Black Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
4.0 Improve Phase
-
4.1 Simple Linear Regression
4.1.1 Correlation
4.1.2 X-Y Diagram
4.1.3 Regression Equations
4.1.4 Residuals Analysis -
4.2 Multiple Regression Analysis
4.2.1 Non-Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence Intervals
4.2.4 Residuals Analysis
4.2.5 Data Transformation, Box Cox
4.2.6 Stepwise Regression
4.2.7 Logistic Regression -
4.3 Designed Experiments
4.3.1 Experiment Objectives
4.3.2 Experimental Methods
4.3.3 DOE Design Considerations -
4.4 Full Factorial Experiments
4.4.1 2k Full Factorial Designs
4.4.2 Linear & Quadratic Models
4.4.3 Balanced & Orthogonal Designs
4.4.4 Fit, Model & Center Points -
4.5 Fractional Factorial Experiments
4.5.1 Designs
4.5.2 Confounding Effects
4.5.3 Experimental Resolution -
Improve Phase Test
Included in the Lean Six Sigma Black Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
5.0 Control Phase
-
5.1 Lean Controls
5.1.1 Control Methods for 5S
5.1.2 Kanban
5.1.3 Poka-Yoke -
5.2 Statistical Process Control (SPC)
5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S chart
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Methods
5.2.11 Control Chart Anatomy
5.2.12 Subgroups, Variation, Sampling
5.2.13 Center Line & Control Limits -
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Elements of the Control Plan
5.3.3 Elements of the Response Plan -
Control Phase Test
Included in the Lean Six Sigma Black Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
Black Belt Certification Exam
-
Credits Earned from Online Course
CEU = 10.5
PDU = 105

Lean Six Sigma Green Belt Curriculum
-
1.0 Define Phase
-
1.1 Overview of Six Sigma
1.1.1 What is Six Sigma
1.1.2 Six Sigma History
1.1.3 Six Sigma Approach Y = f(x)
1.1.4 Six Sigma Methodology
1.1.5 Roles & Responsibilities -
1.2 Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 VOC & CTQ's
1.2.3 QFD
1.2.4 Cost of Poor Quality
1.2.5 Pareto Analysis (80:20 rule) -
1.3 Lean Six Sigma Projects
1.3.1 Six Sigma Metrics
1.3.2 Rolled Throughput Yield
1.3.3 Business Case & Charter
1.3.4 Project Team Selection
1.3.5 Project Risk Management
1.3.6 Project Planning -
1.4 Lean Fundamentals
1.4.1 Lean and Six Sigma
1.4.2 History of Lean
1.4.3 Seven Deadly Muda
1.4.4 Five-S (5S) -
Define Phase Test
Included in the Lean Six Sigma Green Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
2.0 Measure Phase
-
2.1 Process Definition
2.1.1 Cause & Effect Diagram
2.1.2 Cause & Effect Matrix
2.1.3 Process Mapping
2.1.4 Failure Modes & Effects Analysis
2.1.5 Theory of Constraints -
2.2 Six Sigma Statistics
2.2.1 Basic Statistics
2.2.2 Descriptive Statistics
2.2.3 Distributions & Normality
2.2.4 Graphical Analysis -
2.3 MSA
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage R&R
2.3.4 Variable & Attribute MSA -
2.4 Process Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute & Discrete Capability
2.4.4 Monitoring Techniques -
Measure Phase Test
Included in the Lean Six Sigma Green Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
3.0 Analyze Phase
-
3.1 Patterns of Variation
3.1.1 Multi-Vari Analysis
3.1.2 Classes of Distributions -
3.2 Inferential Statistics
3.2.1 Understanding Inference
3.2.2 Sampling Techniques & Uses
3.2.3 Sample Size
3.2.4 Central Limit Theorem -
3.3 Hypothesis Testing
3.3.1 Goals of Hypothesis Testing
3.3.2 Statistical Significance
3.3.4 Risk; Alpha & Beta
3.3.5 Types of Hypothesis Test -
3.4 Hypothesis Tests: Normal Data
3.4.1 1 & 2 sample t-tests
3.4.2 1 sample variance
3.4.3 One Way ANOVA -
3.5 Hypothesis Tests: Non-Normal Data
3.5.1 Mann-Whitney & Mood’s Median
3.5.2 Kruskal-Wallis
3.5.3 Moods Median
3.5.4 Friedman
3.5.5 1 Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 1 and 2 Sample Proportion
3.5.8 Chi-Squared
3.5.9 Test of Equal Variances -
Analyze Phase Test
Included in the Lean Six Sigma Green Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
4.0 Improve Phase
-
4.1 Simple Linear Regression
4.1.1 Correlation
4.1.2 X-Y Diagram
4.1.3 Regression Equations
4.1.4 Residuals Analysis -
4.2 Multiple Regression Analysis
4.2.1 Non-Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence Intervals
4.2.4 Residuals Analysis
4.2.5 Data Transformation, Box Cox
4.2.6 Stepwise Regression
4.2.7 Logistic Regression -
4.3 Designed Experiments
4.3.1 Experiment Objectives
4.3.2 Experimental Methods
4.3.3 DOE Design Considerations -
4.4 Full Factorial Experiments
4.4.1 2k Full Factorial Designs
4.4.2 Linear & Quadratic Models
4.4.3 Balanced & Orthogonal Designs
4.4.4 Fit, Model & Center Points -
4.5 Fractional Factorial Experiments
4.5.1 Designs
4.5.2 Confounding Effects
4.5.3 Experimental Resolution -
Improve Phase Test
Included in the Lean Six Sigma Green Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
5.0 Control Phase
-
5.1 Lean Controls
5.1.1 Control Methods for 5S
5.1.2 Kanban
5.1.3 Poka-Yoke -
5.2 Statistical Process Control (SPC)
5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S chart
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Methods
5.2.11 Control Chart Anatomy
5.2.12 Subgroups, Variation, Sampling
5.2.13 Center Line & Control Limits -
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Elements of the Control Plan
5.3.3 Elements of the Response Plan -
Control Phase Test
Included in the Lean Six Sigma Green Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
Green Belt Certification Exam
-
Credits Earned from Online Course
CUE = 8.5
PDU = 85

Lean Six Sigma Yellow Belt Curriculum
-
1.0 Define Phase
-
1.1 Overview of Six Sigma
1.1.1 What is Six Sigma
1.1.2 Six Sigma History
1.1.3 Six Sigma Approach Y = f(x)
1.1.4 Six Sigma Methodology
1.1.5 Roles & Responsibilities -
1.2 Fundamentals of Six Sigma
1.2.1 Defining a Process
1.2.2 VOC & CTQ's
1.2.3 QFD
1.2.4 Cost of Poor Quality
1.2.5 Pareto Analysis (80:20 rule) -
1.3 Lean Six Sigma Projects
1.3.1 Six Sigma Metrics
1.3.2 Rolled Throughput Yield
1.3.3 Business Case & Charter
1.3.4 Project Team Selection
1.3.5 Project Risk Management
1.3.6 Project Planning -
1.4 Lean Fundamentals
1.4.1 Lean and Six Sigma
1.4.2 History of Lean
1.4.3 Seven Deadly Muda
1.4.4 Five-S (5S) -
Define Phase Test
Included in the Lean Six Sigma Yellow Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
2.0 Measure Phase
-
2.1 Process Definition
2.1.1 Cause & Effect Diagram
2.1.2 Cause & Effect Matrix
2.1.3 Process Mapping
2.1.4 Failure Modes & Effects Analysis
2.1.5 Theory of Constraints -
2.2 Six Sigma Statistics
2.2.1 Basic Statistics
2.2.2 Descriptive Statistics
2.2.3 Distributions & Normality
2.2.4 Graphical Analysis -
2.3 MSA
2.3.1 Precision & Accuracy
2.3.2 Bias, Linearity & Stability
2.3.3 Gage R&R
2.3.4 Variable & Attribute MSA -
2.4 Process Capability
2.4.1 Capability Analysis
2.4.2 Concept of Stability
2.4.3 Attribute & Discrete Capability
2.4.4 Monitoring Techniques -
Measure Phase Test
Included in the Lean Six Sigma Yellow Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
3.0 Analyze Phase
-
3.1 Patterns of Variation
3.1.1 Multi-Vari Analysis
3.1.2 Classes of Distributions -
3.2 Inferential Statistics
3.2.1 Understanding Inference
3.2.2 Sampling Techniques & Uses
3.2.3 Sample Size
3.2.4 Central Limit Theorem -
3.3 Hypothesis Testing
3.3.1 Goals of Hypothesis Testing
3.3.2 Statistical Significance
3.3.4 Risk; Alpha & Beta
3.3.5 Types of Hypothesis Test -
3.4 Hypothesis Tests: Normal Data
3.4.1 1 & 2 sample t-tests
3.4.2 1 sample variance
3.4.3 One Way ANOVA -
3.5 Hypothesis Tests: Non-Normal Data
3.5.1 Mann-Whitney & Mood’s Median
3.5.2 Kruskal-Wallis
3.5.3 Moods Median
3.5.4 Friedman
3.5.5 1 Sample Sign
3.5.6 1 Sample Wilcoxon
3.5.7 1 and 2 Sample Proportion
3.5.8 Chi-Squared
3.5.9 Test of Equal Variances -
Analyze Phase Test
Not Included in the Lean Six Sigma Yellow Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
4.0 Improve Phase
-
4.1 Simple Linear Regression
4.1.1 Correlation
4.1.2 X-Y Diagram
4.1.3 Regression Equations
4.1.4 Residuals Analysis -
4.2 Multiple Regression Analysis
4.2.1 Non-Linear Regression
4.2.2 Multiple Linear Regression
4.2.3 Confidence Intervals
4.2.4 Residuals Analysis
4.2.5 Data Transformation, Box Cox
4.2.6 Stepwise Regression
4.2.7 Logistic Regression -
4.3 Designed Experiments
4.3.1 Experiment Objectives
4.3.2 Experimental Methods
4.3.3 DOE Design Considerations -
4.4 Full Factorial Experiments
4.4.1 2k Full Factorial Designs
4.4.2 Linear & Quadratic Models
4.4.3 Balanced & Orthogonal Designs
4.4.4 Fit, Model & Center Points -
4.5 Fractional Factorial Experiments
4.5.1 Designs
4.5.2 Confounding Effects
4.5.3 Experimental Resolution -
Improve Phase Test
Not Included in the Lean Six Sigma Yellow Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
5.0 Control Phase
-
5.1 Lean Controls
5.1.1 Control Methods for 5S
5.1.2 Kanban
5.1.3 Poka-Yoke -
5.2 Statistical Process Control (SPC)
5.2.1 Data Collection for SPC
5.2.2 I-MR Chart
5.2.3 Xbar-R Chart
5.2.4 U Chart
5.2.5 P Chart
5.2.6 NP Chart
5.2.7 X-S chart
5.2.8 CumSum Chart
5.2.9 EWMA Chart
5.2.10 Control Methods
5.2.11 Control Chart Anatomy
5.2.12 Subgroups, Variation, Sampling
5.2.13 Center Line & Control Limits -
5.3 Six Sigma Control Plans
5.3.1 Cost Benefit Analysis
5.3.2 Elements of the Control Plan
5.3.3 Elements of the Response Plan -
Control Phase Test
Included in the Lean Six Sigma Yellow Belt "Certification Test-Prep" and online "Training and Certification" Courses.
-
Yellow Belt Certification Exam
-
Credits Earned from Online Course
CEU = 5
PDU = 50