Lean Six Sigma Black Belt

Learn the Lean Six Sigma Black Belt methodologies and enhance your career. Become a leader in process optimization. Enroll now! Read more.

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Course Skill Level

Intermediate

Time Estimate

38h 59m

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About This Course
Curriculum

About This Course

Who this course is for:

This course is ideal for professionals across various industries, including manufacturing, healthcare, finance, and services, who aim to enhance their careers and drive organizational excellence using Lean Six Sigma methodologies. Whether you’re a quality manager, process improvement specialist, project manager, or aspiring leader, this course will empower you to lead transformative change initiatives and deliver measurable, sustainable results.

What you’ll learn:

Develop a thorough understanding of Lean Six Sigma principles and advanced techniques.
Master the DMAIC methodology and its application to complex process improvement projects.
Develop advanced skills in data collection, statistical analysis, and process capability assessment.
Learn Lean principles and tools to effectively identify and eliminate waste.
Explore proven strategies to sustain improvements through control plans and Lean controls.
NOTE: Expect to learn from multiple speakers with diverse backgrounds and experience, ensuring a well-rounded educational experience.

Requirements:

A foundational understanding of basic math concepts.
Familiarity with general business and operational concepts.

The Lean Six Sigma Black Belt course is designed by experts to provide you with the advanced skills needed to excel in Lean Six Sigma. Throughout this comprehensive program, you will dive deep into key topics in process improvement and quality management, with a focus on practical, real-world applications. Our expert instructors will guide you through complex concepts and methodologies, ensuring you gain both the knowledge and confidence to implement change.

This course covers essential topics such as Lean Six Sigma principles, the DMAIC methodology, Lean Enterprise, and advanced statistical analysis. You will participate in practical exercises and case studies that reinforce your understanding and build your problem-solving skills. Additionally, the course offers effective strategies for implementing Lean Six Sigma tools, such as design of experiments, regression analysis, and control methods.

Why Choose This Course?
Our Lean Six Sigma Black Belt course is designed with expertise to help you not only understand theory but also apply these principles effectively in the real world. As you progress through the course, you’ll learn from industry experts with years of experience and obtain practical insights that you can apply right away in your professional role. This practical, hands-on learning approach ensures that you’re not just prepared for certification, but ready to lead impactful change and contribute meaningfully to your organization’s success.

Curious about how to make a lasting impact on the world? My courses can equip you with the skills you need.

Our Promise to You

Upon completing this course, you will have the advanced knowledge and practical skills necessary to lead high-impact process improvement initiatives and drive measurable success in your organization.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today!

Course Curriculum

Section 1 - Course Overview
	Course Overview-LSSBB	00:00:00
Section 2 - Lean Six Sigma Introduction
	Lean Six Sigma And Process Issues	00:00:00
Section 3 - Six Sigma Overview
	Foundation – Introduction	00:00:00
	DPMO And Z Score	00:00:00
	Example 1 DPMO And Z Score	00:00:00
	Example 2 DPMO And Z Score	00:00:00
	1.5 Sigma Shift	00:00:00
	History Of Six Sigma	00:00:00
	History Of Continuous Improvement	00:00:00
	Six Sigma Organization	00:00:00
Section 4 - DMAIC Methodology Page
	DMAIC Methodology-Six Sigma Methodologies	00:00:00
	DMAIC Phases	00:00:00
	Example DMAIC Phases	00:00:00
	DMAIC Methodology	00:00:00
	DMAIC Approach	00:00:00
	What A Function Is: Y = f(X)	00:00:00
	Six Sigma Success Or Failure	00:00:00
Section 5 - Lean Enterprise
	Lean Introduction And History	00:00:00
	Lean Approach-01	00:00:00
	Lean Approach-02	00:00:00
	Lean Approach-03	00:00:00
	Example-Jidoka And Quick Changeover	00:00:00
	Example-Kanban And Pull Systems And One-Piece Flow	00:00:00
	Takt Time And Cycle Time	00:00:00
	Value-Added, Non-Value-Added And Waste	00:00:00
	Lean Thinking – Add Value	00:00:00
	Waste (Muda)	00:00:00
	Types Of Waste And Common Causes	00:00:00
	Lean Methodology And Tools	00:00:00
	Value Stream Mapping (VSM)	00:00:00
	5S Or 6S	00:00:00
	Kaizen And Types	00:00:00
	End Of Module—Summary	00:00:00
Section 6 - Define Phase Overview
	Define Phase	00:00:00
	Overview	00:00:00
	Define Phase – Lean Six Sigma Black Belt	00:00:00
Section 7 - Voice Of Customer (VOC)
	VOC Capturing Methods	00:00:00
	Kano Analysis	00:00:00
	Business Processes	00:00:00
	Business Performance Measure (BPM)	00:00:00
Section 8 - Critical To Quality (CTQ)
	CTQ	00:00:00
	Critical To Quality (CTQ): Flow-Down – CTQ Tree	00:00:00
	Translation Of VOC To CTQ	00:00:00
	COPQ And 1-10-100 Rule	00:00:00
	COPQ	00:00:00
	Pareto Chart	00:00:00
	Project Primary And Secondary Metrics	00:00:00
	Throughput Yield (TPY)	00:00:00
	Rolled Throughput Yield	00:00:00
Section 9 - SIPOC Page
	SIPOC	00:00:00
Section 10 - Stakeholder Analysis
	Stakeholder Analysis	00:00:00
	Stakeholder Management	00:00:00
Section 11 - Project Charter
	Project Selection	00:00:00
	Project Charter	00:00:00
	Financial Benefits	00:00:00
	Payback Period	00:00:00
	Business Case	00:00:00
	Project Scope	00:00:00
	Project Charter – Summary	00:00:00
	Differences Between ARMI And RASIC Tools	00:00:00
Section 12 - Measure Phase Overview
	Measure Phase Introduction	00:00:00
	Measure Overview	00:00:00
	Measure Phase – Lean Six Sigma Black Belt	00:00:00
Section 13 - As-Is Process Review (Process Definition)
	Process Map Overview-1	00:00:00
	Process Map Overview-2	00:00:00
	Type Of Process Mapping	00:00:00
	Detailed Process Mapping	00:00:00
	Value Stream Mapping (VSM)	00:00:00
	VSM – Creation	00:00:00
	VSM Common Metrics	00:00:00
	VSM – Calculation (Little’s Law)	00:00:00
	Value Add Flow Analysis 1	00:00:00
	Value Add Flow Analysis 2	00:00:00
	Value Add Flow Analysis Exercise	00:00:00
	Spaghetti Diagram	00:00:00
	X Y Matrix	00:00:00
	X Y Matrix Example	00:00:00
	5 Whys	00:00:00
	5 Whys Example	00:00:00
	Fishbone Diagram – 1	00:00:00
	Fishbone Diagram – 2	00:00:00
	Fishbone Diagram Example	00:00:00
	Failure Mode And Effects Analysis (FMEA)	00:00:00
	FMEA Other Details	00:00:00
	FMEA Template 1	00:00:00
	FMEA Template 2	00:00:00
	FMEA Rating	00:00:00
	FMEA Example	00:00:00
Section 14 - Data Collection And Analysis (Basic Statistics)
	Data Collection – Introduction	00:00:00
	Data Types	00:00:00
	Qualitative Data – Additional Detail	00:00:00
	Ranked Data	00:00:00
	Operational Definition	00:00:00
	Data Stratification	00:00:00
	Data Collection Planning	00:00:00
	Data Sampling	00:00:00
	Data Analysis-Graphical-1	00:00:00
	Data Analysis-Graphical-2	00:00:00
	Box Plot – Additional Detail	00:00:00
	Statistical Analysis – Software	00:00:00
	Minitab Introduction	00:00:00
	Pulse Example	00:00:00
	Pulse Example – Excel	00:00:00
	Pulse Example – Histogram	00:00:00
	Pulse Example – Box Plot	00:00:00
	Pulse Example – Dot Plot	00:00:00
	Pulse Example – Stem And Leaf Plot	00:00:00
	Pulse Example – Time Series	00:00:00
	Pulse Example – Scatter Plot	00:00:00
	Data Analysis- Descriptive Statistics	00:00:00
	Center Tendency	00:00:00
	Center Tendency – Distribution And Data Type	00:00:00
	Variability And Dispersion	00:00:00
	Symbols For Data	00:00:00
Section 15 - Data Accuracy And Precision (Measurement System Analysis - MSA)
	Measurement System Analysis (MSA) – Overview	00:00:00
	Measurement System Analysis – Introduction	00:00:00
	MSA – Elements	00:00:00
	MSA – Elements Exercise	00:00:00
	Measurement Error	00:00:00
	Measurement Error – Types	00:00:00
	Appropriate Measures	00:00:00
	Measurement System Analysis (MSA)	00:00:00
	MSA – Formula	00:00:00
	Percent Tolerance GRR	00:00:00
	MSA – Procedure-1	00:00:00
	MSA – Procedure-2	00:00:00
	MSA – Procedure-3	00:00:00
	Example Variable Gage R-R	00:00:00
	Example Variable Gage R-R – Excel	00:00:00
	Minitab – Variable GRR Methods	00:00:00
	Minitab – VGRR 1- Example	00:00:00
	Minitab – VGRR 2- Example	00:00:00
	Attribute Agreement Analysis	00:00:00
	Attribute MSA AAA–Introduction	00:00:00
	Attribute MSA – Kappa Statistic	00:00:00
	Attribute MSA AAA–Purpose	00:00:00
	AAA 1 – Example	00:00:00
	AAA 2 – Example	00:00:00
	AAA 3 – Example	00:00:00
	MSA – Improvement Actions And Summary	00:00:00
Section 16 - Process Capability, Distribution Types, And Stability
	Process Capability – Overview	00:00:00
	Process Capability – Introduction-I	00:00:00
	Process Capability – Introduction-II	00:00:00
	Process Capability Analysis	00:00:00
	Process Capability – Metrics Cp Cpk Or Pp Ppk	00:00:00
	Process Capability – Z Score	00:00:00
	IASSC Reference Document – Introduction	00:00:00
	Process Capability – Z-Score – Example	00:00:00
	Process Capability – Sigma Levels	00:00:00
	Process Capability – 1.5 Sigma Shift	00:00:00
	Types Of Distributions	00:00:00
	Normal Distribution	00:00:00
	Example – Normality Test	00:00:00
	Example – Process Capability For Normal Data	00:00:00
	Non-Normal Data And Transformation	00:00:00
	Example – Non-Normal Distribution – Identification	00:00:00
	Example – Process Capability For Non-Normal Data	00:00:00
	Process Capability – Attribute Data	00:00:00
	Binomial And Poisson Process Capability	00:00:00
	Binomial Process Capability – Example	00:00:00
	Poisson Process Capability – Example	00:00:00
	Process Stability– Overview	00:00:00
	Control Charts	00:00:00
	Process Stability – Example	00:00:00
	Process Capability And Stability	00:00:00
	End Of Measure Phase Module – Summary	00:00:00
Section 17 - Analyze Phase - Overview
	Analyze – Introduction	00:00:00
	Analyze Phase – Overview-I	00:00:00
	Analyze Phase – Overview-II	00:00:00
	Analyze Phase -Lean Six Sigma Black Belt	00:00:00
Section 18 - Patterns Of Variation
	Sources-Causes Of Variation	00:00:00
	Multi-Vari Chart Analysis	00:00:00
	Example: Multi-Vari Chart-I	00:00:00
	Example: Multi-Vari Chart-II	00:00:00
	Classes Of Distributions	00:00:00
	Causes Of Non-Normal Distributions	00:00:00
	Non-Normal Distributions: Skewness	00:00:00
	Non-Normal Distributions: Kurtosis	00:00:00
	Non-Normal Distributions: Multiple Modes And Granularity	00:00:00
	Non-Normal Data	00:00:00
Section 19 - Inferential Statistics
	Inferential Statistics-Introduction	00:00:00
	Confidence Interval	00:00:00
	Sampling	00:00:00
	Sampling Methods	00:00:00
	Example-Sampling	00:00:00
	Sample Size	00:00:00
	Sampling Bias	00:00:00
	Central Limit Theorem (CLT)	00:00:00
	Standard Error (SE)	00:00:00
	Confidence Interval Of Mean	00:00:00
	95 Percent Confidence Interval Of Mean	00:00:00
	Confidence Interval-Example 1	00:00:00
	Confidence Interval-Example 2	00:00:00
	Confidence Interval-Example 2-Excel	00:00:00
	Confidence Interval-Example 2-Minitab	00:00:00
Section 20 - Hypothesis Testing
	Hypothesis Testing	00:00:00
	Six Sigma Project And Hypothesis Testing	00:00:00
	Hypothesis And Hypothesis Testing	00:00:00
	Significant Differences	00:00:00
	Hypothesis Test Options – Normal Data	00:00:00
	Hypothesis Test Options – Non-Normal Data	00:00:00
	Hypothesis Test Roadmap	00:00:00
	Hypothesis Statements Examples	00:00:00
	Hypothesis Testing Procedure	00:00:00
	P-Value	00:00:00
	Risk – Types	00:00:00
	Risk – Alpha And Beta	00:00:00
	P-Value And Alpha Risk	00:00:00
	Statistical Power	00:00:00
	Hypothesis Test – In A Nutshell	00:00:00
Section 21 - Hypothesis Testing With Normal Data
	Hypothesis Testing With Normal Data	00:00:00
	T-Test_Introduction	00:00:00
	Example_1-Sample T-Test-V1	00:00:00
	Example_1-Sample T-Test-V2	00:00:00
	Example_2-Sample T-Test	00:00:00
	Example_Paired T-Test-V1	00:00:00
	Example_Paired T-Test-V2	00:00:00
	Variance Test_Introduction	00:00:00
	Example_1- Variance Test-V1	00:00:00
	Example_1- Variance Test-V2	00:00:00
	Example_2- Variance Test	00:00:00
	ANOVA-Introduction	00:00:00
	ANOVA-Purpose	00:00:00
	ANOVA Test Methods	00:00:00
	One-Way ANOVA Table	00:00:00
	Example_One-Way ANOVA	00:00:00
	Example_One-Way ANOVA_Minitab	00:00:00
	Example_Balanced ANOVA-Minitab	00:00:00
	Example_Balanced ANOVA-V1	00:00:00
	Example_Balanced ANOVA-V2	00:00:00
	Example_Balanced ANOVA-V3	00:00:00
Section 22 - Hypothesis Testing With Non-Normal Data
	Hypothesis Testing With Non-Normal Data	00:00:00
	Nonparametric Tests	00:00:00
	One-Sample Sign Test	00:00:00
	Example_One-Sample Wilcoxon Test	00:00:00
	One-Sample Wilcoxon Signed Rank Test	00:00:00
	Example_Test Statistics And Estimated Median	00:00:00
	Example_One-Sample Wilcoxon Test-Minitab	00:00:00
	Mann-Whitney Test	00:00:00
	Example_Mann-Whitney Test	00:00:00
	Kruskal-Wallis Test	00:00:00
	Example_Kruskal-Wallis Test	00:00:00
	Mood’s Median Test	00:00:00
	Example_Mood’s Median Test	00:00:00
	Friedman Test	00:00:00
	Example_Friedman Test	00:00:00
	1-Proportion Test	00:00:00
	Example: 1-Proportion Test	00:00:00
	2-Proportion Test	00:00:00
	Example: 2-Proportion Test	00:00:00
	Chi-Square Test And Contingency Table	00:00:00
	Example: Chi-Square Test-V1	00:00:00
	Example: Chi-Square Test-V2	00:00:00
	End Of Analyze Phase Module-Summary	00:00:00
Section 23 - Improve Overview
	Improve – Introduction	00:00:00
	Improve Phase – Overview	00:00:00
	Improve Phase – DMAIC Roadmap	00:00:00
	Improve Phase – Lean Six Sigma Black Belt	00:00:00
Section 24 - Potential Solutions Generation
	Potential Solutions	00:00:00
	Solution Or Improvement Hierarchy	00:00:00
	Industrial Revolution 4.0	00:00:00
	TRIZ-1	00:00:00
	TRIZ-2	00:00:00
	TRIZ 39 Matrix And 40 Principles	00:00:00
	TRIZ Separation Principles	00:00:00
Section 25 - Lean Solutions And Tools
	Lean Solutions Most Common Tools	00:00:00
	5S Approach-1	00:00:00
	5S Approach-2	00:00:00
	Visual Factory Management	00:00:00
	Kanban-1	00:00:00
	Kanban-2	00:00:00
	Kanban-3	00:00:00
	Jidoka And Andon	00:00:00
	Total Productive Maintenance	00:00:00
	Quick Changeover	00:00:00
Section 26 - Mistake-Proofing
	Mistake-Proofing	00:00:00
	Examples Mistake-Proofing	00:00:00
	Human Errors	00:00:00
	Mistake-Proofing Methods	00:00:00
Section 27 - Select The Best Solution
	Select The Best Solution	00:00:00
	Assess The Risks	00:00:00
Section 28 - Pilot Implementation
	Pilot And Future Map	00:00:00
	Standardized Work	00:00:00
	Solution Implementation	00:00:00
Section 29 - Simple Linear Regression
	Regression Introduction	00:00:00
	Correlation	00:00:00
	Regression Types	00:00:00
	Simple Linear Regression	00:00:00
	R-Squared	00:00:00
	Example-Simple Linear Regression	00:00:00
	Example-SLR—Analysis	00:00:00
	Example-SLR—Analysis CI And PI	00:00:00
	Residual	00:00:00
	Residual—Assumptions	00:00:00
	Example-SLR—Residual Plot	00:00:00
	Example-SLR-Minitab	00:00:00
Section 30 - Multiple Regression Analysis (MRA)
	MRA-Introduction	00:00:00
	Nonlinear Data	00:00:00
	Example-Polynomial Regression	00:00:00
	Nonlinear Data-Transformation	00:00:00
	Example Transformation-Minitab	00:00:00
	Multiple Linear Regression	00:00:00
	MLR-Simple Model	00:00:00
	MLR-Complex Model	00:00:00
	Nonlinear Regression	00:00:00
	Multiple Linear Regression-Steps	00:00:00
	Example_MLR—Matrix Plot	00:00:00
	Example_MLR—Best Subsets	00:00:00
	Example_MLR—ANOVA	00:00:00
	Example_MLR—ANOVA (Repeat And Final)	00:00:00
	Example_MLR—Residual Analysis	00:00:00
Section 31 - Designed Experiments Or Design Of Experiments (DOE)
	DOE Introduction And Objectives	00:00:00
	DOE Factors And Levels	00:00:00
	DOE Treatments And Combinations	00:00:00
	DOE Response Main Effect Interaction	00:00:00
	Example-Cooking DOE-V1	00:00:00
	Example-Cooking DOE-V2	00:00:00
	DOE Multicollinearity	00:00:00
	DOE Confounding Variables	00:00:00
	DOE Experimental Error	00:00:00
	DOE Randomization	00:00:00
	DOE Replication	00:00:00
	DOE Blocking	00:00:00
	DOE Balanced And Orthogonal Designs	00:00:00
	DOE Center Points	00:00:00
	DOE Design Methods-V1	00:00:00
	DOE Design Methods-V2	00:00:00
	DOE Design Methods-V3	00:00:00
	DOE Design Methods-V4	00:00:00
	DOE Create Factorial Design-Example	00:00:00
Section 32 - Full Factorial Experiments
	2k Full Factorial Designs	00:00:00
	Mathematical Models	00:00:00
	Quadratic Mathematical Models	00:00:00
	Fit And Diagnose-Overview	00:00:00
	Example-2k Full Factorial Design	00:00:00
	Example-Create Factorial Design	00:00:00
	Example-Analyze Factorial Design-V1	00:00:00
	Example-Analyze Factorial Design-V2	00:00:00
	Example-Analyze Factorial Design-V3	00:00:00
	Example-Analyze Factorial Design-V4	00:00:00
	Example-Factorial Plots	00:00:00
	Example-Cube Plot	00:00:00
	Example-Surface Plot	00:00:00
	Example-Contour Plot	00:00:00
	Example-Contour Plot Of Cost	00:00:00
	Example-Response Optimizer	00:00:00
	Fractional Factorial Designs	00:00:00
	Confounding Effect	00:00:00
	Experimental Resolutions	00:00:00
	IP EoM Summary	00:00:00
Section 33 - Control Phase - Overview
	Control Phase: Introduction	00:00:00
	Control Phase – V1	00:00:00
	Control Phase – V2	00:00:00
	Control Phase – Lean Six Sigma Black Belt	00:00:00
Section 34 - Lean Controls
	Lean Controls	00:00:00
	Lean Controls: 5S, Kanban, And Poka-Yoke	00:00:00
	Lean Controls: Kaizen	00:00:00
Section 35 - Statistical Process Control
	Statistical Process Control	00:00:00
	Control Charts	00:00:00
	Control Charts: Anatomy	00:00:00
	Control Charts: Variation	00:00:00
	Control Charts: Decision Rules-V1	00:00:00
	Control Charts: Decision Rules-V2	00:00:00
	Control Charts: Decision Rules-V3	00:00:00
	Control Charts: Types For Continuous Data -V1	00:00:00
	Control Charts: Types For Continuous Data -V2	00:00:00
	Control Charts: Types For Attribute Data	00:00:00
	Control Charts And Decision Rules	00:00:00
	Control Charts: I-MR Chart Formulas	00:00:00
	Control Charts: X-Bar R Chart Formulas	00:00:00
	Control Charts: X-Bar S Chart Formulas	00:00:00
	Control Charts: Attributes Chart Formulas-V1	00:00:00
	Control Charts: Attributes Chart Formulas-V2	00:00:00
	Control Charts: Data Collection	00:00:00
	Control Charts Average Run Length	00:00:00
	Control Charts: Four States	00:00:00
	Control Charts Control Methods	00:00:00
	Example: I-MR Chart	00:00:00
	Example: X-Bar R Chart	00:00:00
	Example: P Chart	00:00:00
	Example U Chart	00:00:00
	Time-Weighted Control Charts	00:00:00
	EWMA Charts	00:00:00
	EWMA Charts Formula V1	00:00:00
	EWMA Charts Formula V2	00:00:00
	EWMA Charts Example	00:00:00
	CUSUM Charts	00:00:00
	CUSUM Charts Types	00:00:00
	CUSUM Charts Example	00:00:00
Section 36 - Six Sigma Control Plan
	Control Plans	00:00:00
	Implementation Plans	00:00:00
	Control Plans Five Elements	00:00:00
	Control Plan Preparation	00:00:00
	Project Closure	00:00:00
	CP EoM Summary	00:00:00
	Lean Six Sigma Black Belt – Test Questions	00:00:00