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Lean Six Sigma Black Belt E-Learning

Format E-Learning

Expect the very best in e-learning experience when taking this course, featuring:  

  • Unique ASQ teaching methods with high-caliber content designed for practical applications, with relevant real-world examples
  • Exclusive video, interactive scenarios, and knowledge checks to increase engagement and retention 
  • Lessons fully compatible with mobile: access via smartphones, tablets, or desktop wherever and whenever you like  

ASQ Excellence Through Quality

BECOME AN ASQ MEMBER TODAY, and save $250 on this e-learning course! 
(Individual pro membership: $185/year)
Learn Lean Six Sigma with ASQ to become an agent of improvement at your organization: 

  • Improve business process capabilities
  • Reduce costs and defects
  • Increase profits, productivity, and quality of your products/services
  • Boost employee morale 
This highly practical course, created in collaboration with global experts and Master Black Belt holders, is the upper level on your Lean Six Sigma journey―though the Green Belt is not required to enroll. Those with Six Sigma Black Belt training earned an average of $21,181 more than those without any Six Sigma training*. 

In this Black Belt e-learning course, you will learn how to: 
  • Contribute further to improving your organization's business processes, and face any challenge using the DMAIC methodology.
  • Apply Lean practices to identify and reduce waste and improve organizational efficiency.
  • Apply statistical and problem-solving tools to optimize process capability and reduce process variation.
  • Develop statistical hypotheses using advanced tools.
  • And much more! See full outline below. 
Expect the very best in learning experience when taking this ASQ course: 
  • Engaging and interactive with fresh and modern visuals throughout, including AI-generated video hosts to accompany you through the course at your own pace
  • Scenario-based learning to connect directly to your world
  • Microlearning to work around your busy schedule, fully compatible with mobile devices to study wherever and whenever you like
  • Regular checkpoints to acknowledge progress, and post-course assessment 
Black Belt graduates can go on to prepare for the Six Sigma Black Belt Certification Exam. On average, those holding any Six Sigma Belt earn $16,000/year more than those without any Six Sigma Belt*, as their employer recognizes their value to the organization. 

*Source: ASQ Salary Survey 2021 

Course Data

  • CEU Hours: 0
  • Length: 50 Hours
  • ASQ RU: 5
  • Audience: Practitioner, Professional
  • Provider: ASQ
Course Overview

Learning Objectives:

  • Achieve significant improvements in critical business processes.
  • Apply statistical and problem-solving tools to an improvement project brought to class on the first day.
  • Reduce process variation.
  • Eliminate waste and defects by applying lean and Six Sigma.
  • Collect, analyze, and quantify data that enable process improvements.
  • Learn how to execute the Six Sigma methodology.
  • Establish and define process capability.
  • Identify and eliminate dominant process variation sources.
  • Characterize and optimize processes by computing and applying statistical techniques.
  • Design, simulate, and execute designed experiments that depict validated improvement.
  • Learn how to plan and implement process control to hold project gains. 


  • Basic statistics primer or understanding of basic statistics. Basic college-level algebra is helpful to understand statistical concepts.
  • Statistical software and familiarity with creating charts and graphs. 

Who Should Attend:

This course is designed for individuals from diverse organizational functions—operations, quality, logistics, finance, production, engineering, and other staff functions seeking to bring significant business results to their organizations. Participants are traditionally from all economic sectors, are well versed in technical aspects of their jobs, are team leaders, and effective project facilitators. 

Six Sigma Essentials

  1. Continuous Improvements Fundamentals
    Project Simulation: Construction
    1. Value of Lean Six Sigma
    2. LSS and the Green Belt
    3. Organizational Drivers 
    4. Analyzing Financials to "See the Big Picture" 
    5. Voice of the Customer vs. Voice of the Process 
    6. Organizational Goals and Six Sigma Projects 
    7. Key Metrics and Scorecards
    8. Understanding LSS, Automation, and Digital Systems 
  2. Problem-solving Methodologies
    Project Simulation: Pharmaceutical
    1. The Practical Nature of DMAIC 
    2. PDCA/PDSA
    3. DMADV, IDOV, and Alignment with DMAIC
    4. Using DMADV, IDOV, and DMAIC During DFSS
  3. Team Collaboration
    Project Simulation: Technology
    1. Team Roles and Responsibilities
    2. Organizational Communication and the LSS Team
    3. Stages of Team Evolution
    4. Resolving Negative Team Dynamics
    5. Using Team Ideation Tools
    6. Team Collaboration Techniques
    7. Using Team Communication to Support Project Success       

Applied Concepts

  1. Process Analysis
    1. Process Elements
    2. Cross-Functional Processes and Challenges
    3. Benchmarking
    4. Process Inputs and Outputs
    5. Process Analysis and Documentation
    6. Basic Failure Mode and Effects Analysis (FMEA)
  2. Lean Principles
    Project Simulation: Financial Services
    1. Waste Analysis
    2. Lean Concepts
    3. Value Stream Mapping
    4. Waste Elimination
    5. Cycle-Time Reduction
    6. Kaizen and Kaizen Blitz
  3. Project Setup     
    1. Project Selection
    2. Owners and Stakeholders
    3. Customer Identification
    4. Project Charter
    5. Project Risk Analysis
    6. Understanding the Impact of Risk
  4. Project Management
    Project Simulation: Education
    1. Project Scope
    2. Project Metrics
    3. Project Documentation
    4. Project Planning Tools
    5. Management and Planning Tools
    6. Presenting Project Status
  5. Making and Sustaining Improvements
    1. Piloting and Implementing Improvements
    2. Control Plan
    3. Documentation, Training, and Knowledge Transfer
    4. Controlling the Improvement
    5. Visual Factory
    6. Project Closure

Data Analytics

  1. Data Fundamentals
    1. Tactical vs. Strategic Data
    2. Collecting Customer Feedback
    3. Validating Measurement Systems for Downstream Analysis
    4. Calculating Process Performance
    5. Tracking Process Performance Measures
  2. Data Analysis
    1. Continuous vs. Discrete Data
    2. Basic Design of Experiments Terms
    3. Understanding the Central Limit Theorem
    4. Understanding Distributions
    5. Measures of Dispersion and Central Tendency
    6. Frequency and Cumulative Frequency Distributions
  3. Performing Calculations
    Project Simulation: Aerospace
    1. Measurement System Analysis (MSA)
    2. Process Performance vs. Process Specifications
    3. Process Capability Studies
    4. Process Capability and Process Performance Indices
    5. Calculating Process Capability and Process Performance
    6. Calculating the Sigma Level of a Process
    7. Short-term vs. Long-term Capability
    8. Identifying and Calculating Sigma Shift
  4. Statistical Analysis
    Project Simulation: Financial Services
    1. Basic Statistical Terms
    2. Sampling and Data Collection Methods
    3. Multi-vari Studies
    4. Correlation vs. Causation
    5. Calculating the Correlation Coefficient and Linear Regression
    6. Using Regression Models for Estimation and Prediction
    7. Basics of Hypothesis Testing
    8. Sample Sizes and Test Development
    9. Conducting Hypothesis Tests
    10. Design of Experiments (DoE) Graphs and Plots
    11. Root Cause Analysis
    12. Graphical Methods
  5. Statistical Process Control
    Project Simulation: Education 
    1. SPC Basics
    2. SPC Tools
    3. Common vs. Special Cause Variation
    4. Rational Subgrouping
    5. Control Charts

Leadership Essentials

  1. Team and Change Management
    Project Simulation: Hospitality
    1. LSS and the Black Belt
    2. The Practical Nature of DMAIC
    3. Serving as a Leader
    4. Strategic Planning 
    5. Strategic Deployment 
    6. Coordinating Team Activities  
    7. Project Communication
    8. Acquiring Resources
    9. Managing Change
  2. Performance Measures
    Project Simulation: Construction
    1. Understanding Key Performance Indicators
    2. Using a Balanced Scorecard
    3. Customer Loyalty
    4. Benchmarking
  3. Financial Measures
    Project Simulation: Education
    1. Cost of Quality (COQ)
    2. Calculating Net Present Value (NPV)
    3. Calculating Internal Rate of Return (IRR)
    4. Calculating Return on Investment (ROI)
    5. Completing Cost-Benefit Analysis (CBA)
    6. Completing Breakeven Analysis
    7. Financial Measures for Project Selection        

Applied Concepts: Advanced

  1. Advanced Process Analysis
    Project Simulation: Education 
    1. Process Flow Metrics
    2. The Impact of Hidden Factories
    3. Process Analysis Tools
    4. Failure Mode and Effects Analysis (FMEA)
    5. Gap Analysis
  2. Advanced Lean Principles
    1. Waste Analysis
    2. Waste Elimination
    3. Cycle-time Reduction
    4. Kaizen and Kaizen Blitz
    5. Theory of Constraints (TOC) and Organizational Equipment Effectiveness (OEE)
  3. Advanced Project Setup     
    1. Creating Business Case for a Project
    2. Customer Identification
    3. Customer Requirements
    4. Developing a Problem Statement
    5. Defining Project Scope
    6. Defining Project Goals and Objectives
    7. Project Performance Measurements 
  4. Advanced Project Management
    1. Project Frameworks, Documentation, Tools, and Templates
    2. Using SIPOCs for Project Management
    3. Using Gantt Charts for Project Management
    4. Using Toll Gate Reviews for Project Management
    5. Using WBS for Project Management
    6. Using RACI for Project Management
    7. Using Analytical Tools
    8. The Importance of Sound Time Management
    9. Project Charter Reviews
  5. Making Improvements: Advanced
    Project Simulation: Healthcare
    1. Piloting and Implementing Improvements
    2. Design of Experiments (DOE) Basics
    3. DoE Principles
    4. Planning Experiments
    5. Performing One-Factor Experiments
    6. Performing Two-Level Fractional Factorial Experiments
    7. Performing Full Factorial Experiments
  6. Sustaining Improvement: Advanced
    1. Developing a Control Plan
    2. Developing Project Documentation
    3. Training Needs Assessment
    4. Developing a Training Plan
    5. Delivering Training
    6. Evaluating Training
    7. Using Total Productive Maintenance
    8. Using Visual Controls
    9. Reanalyzing Measurement System Capability
    10. Ongoing Process Evaluation
    11. Documenting Lessons Learned

Advanced Data Analytics

  1. Advanced Data Techniques
    1. Develop and Implement Data Collection Plans
    2. Avoiding Data Collection Pitfalls
    3. Selecting Data Collection Methods to Gather VOC Data
    4. Reviewing Data Collection Methods for Reliability
  2. Advanced Data Analysis
    Project Simulation: Automotive
    1. Calculating Process Performance Metrics
    2. Distinguishing Between Data Types
    3. Using Measurement Scales
    4. Confidence vs. Prediction Intervals
    5. Interpreting Estimators
    6. Calculating Tolerance and Confidence Intervals
    7. Understanding the Central Limit Theorem
    8. Working with Distributions 
  3. Performing Advanced Calculations
    Project Simulation: Industrial chemicals
    1. Calculating Measures of Dispersion and Central Tendency
    2. Using GR&R and Other MSA Tools
    3. Applying Measurement Systems
    4. Understanding Metrology
    5. Distinguishing Between Natural Process Limits and Specification Limits
    6. Conducting Process Capability Studies
    7. Process Capability Indices
    8. Process Performance Indices
    9. Calculating Process Capability and Process Sigma Level
    10. Process Capability for Non-Normal Data
    11. Conventions: Short-term Data vs. Long-Term Data
    12. Interpreting Short-term vs. Long-term Capability
    13. Calculating Process Capability with Modern Software
    14. Managing Big Data
    15. Leveraging Modern Data Collection Methods with Big Data
    16. Leveraging Open-Source Tools with Big Data
    17. Leveraging Automated Tools with Big Data
  4. Advanced Statistical Analysis
    1. Basic Statistical Terms
    2. Sampling Concepts
    3. Sampling Methods
    4. Nonparametric Tests
    5. Correlation Coefficient 
    6. Regression Analysis and Hypothesis Tests for Regression
    7. Regression Modeling
    8. Statistical vs. Practical Significance
    9. Calculating Sample Size for Hypothesis Tests
    10. Hypothesis Testing Terminology
    11. Testing for Means, Variances, and Proportions
    12. Analysis of Variance (ANOVA)
    13. Goodness-of-Fit (Chi Square) Tests
    14. Multivariate Tools
    15. Using Contingency Tables
    16. Root Cause Analysis
    17. Using Graphical Methods
    18. Descriptive vs. Inferential Statistical Studies 
    19. Using Statistical Studies to Draw Valid Conclusions
    20. Applying Probability Concepts
  5. Advanced Statistical Process Control
    1. Objectives of SPC
    2. Selecting Variables
    3. Rational Subgrouping
    4. Using Control Charts
    5. Analyzing Control Charts 



This e-learning, self-paced course is designed to be studied from any internet-connected device, and includes interactive microlearning lessons with a fresh look-and-feel that you can start, stop, and resume at your convenience. 
Technical Requirements

Hardware Requirements 

  • PC, Mac, or mobile device running iOS or Android
  • Audio speakers or headset
  • High-speed internet connection 

Supported Browsers 

You can view courses on any devices that support these browsers. This includes mobile devices such as iPhones, iPads, and Android-enabled phones and tablets. 
  • Windows: Internet Explorer 11, Microsoft Edge (latest version), Google Chrome (latest version), Firefox (latest version)
  • Mac: Safari (latest version), Google Chrome (latest version), Firefox (latest version)
  • Mobile: Safari in Apple iOS 10 or later, Google Chrome in Apple iOS 10 or later, Google Chrome in Android OS 4.4 or later 

Required Browser Settings for Viewing Courses 

  • JavaScript must be enabled for published courses to work.
  • Font downloads must be enabled to see the correct fonts and characters.
  • When using Internet Explorer, turn off Compatibility View for sites where courses are hosted.
  • Deactivate any pop-up blockers, spam filters, and company firewalls that could interfere with access to the e-learning.
  • Third-party toolbars such as Bing, Yahoo, and Google should also be disabled due to their own pop-up blocking capabilities. 

Accessing Your E-learning 

After registration, you will receive an email with access instructions. If you do not, please check your email junk, spam, or clutter folders. If the email is not there, please contact ASQ
Return Policy
We will refund you in full if you cancel your course within 30 calendar days of purchase and if no more than one module (also called "topic"), or online Knowledge Check in the course has been accessed. If more than one module, or online Knowledge Check in the course is accessed, or if a PDF within the course is accessed, no refund will be provided even within 30 calendar days of purchase. 

Note for corporate clients: Please contact your regular Channel Manager to confirm your contractual terms. 

Enrollment Details

Format: Classroom
Format: E-Learning

Internet-based, self-paced training modules, which may involve combinations of text, visuals, audio, interactive simulations and quizzes (see specific courses for features and tools).  These web-based courses require a computer and Internet access.

SPLSSBB2022ASQ Self-Paced English 365 Days List: $2480 Member: $2230
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