Lean Six Sigma Black Belt

Learning goals

Lead enterprise-wide Lean Six Sigma projects and mentor Green and Yellow Belts.
Apply advanced statistical concepts, non-parametric tests, and logistic regression analysis.
Design, execute, and analyze full and fractional Design of Experiments (DOE) models.
Evaluate complex measurement systems using Attribute Agreement Analysis and MSA tools.
Calculate process capability for non-normal data using Box-Cox and Johnson transformations.
Implement advanced Statistical Process Control (SPC) including EWMA and CUSUM charts.

Skills you'll gain

• Enterprise Project Deployment & Governance • Advanced Statistical Analysis & Hypothesis Testing • Design of Experiments (DOE) • Non-Parametric Statistical Tools • Failure Mode and Effects Analysis (FMEA) • Change Management & Executive Leadership • Lean Enterprise Architecture & Value Stream Design • Advanced Statistical Process Control (SPC)

Course description

This master-level certification program prepares you to operate as an elite change agent, strategic leader, and advanced data analyst within your organization. Moving far beyond operational fundamentals, you will master complex quantitative methods, advanced statistical modeling, change management psychology, and enterprise-wide project deployment. You will learn to architect breakthrough performance gains, align cross-functional initiatives with corporate strategy, and mentor Green and Yellow Belts.

Through 16 comprehensive modules and high-impact capstone project simulations, you will develop the rigorous statistical intuition and executive leadership skills that modern corporations demand. By the end of this course, you will possess a sophisticated portfolio of optimization frameworks, a deep mastery of inferential data analysis, and the credentials to lead complex organizational transformations.

Requirements

Prior completion of Lean Six Sigma Green Belt training or equivalent experience is recommended.
Access to a computer with statistical analysis software (such as Minitab or Excel with Analysis ToolPak).
Familiarity with foundational business process mapping and basic statistics concepts.

Intended audience

Experienced Green Belts, quality directors, process managers, and senior operations leaders.
Engineers, data analysts, and project leaders managing high-impact enterprise initiatives.
Consultants and change management professionals driving organizational transformation.
Professionals aiming for top-tier leadership and executive quality management credentials.

Course curriculum

7 modules • 5 lessons • 35h total

01 Enterprise-Wide Deployment & Leadership 5 lessons

Lesson 1.1: Enterprise Leadership & Strategic Alignment
Lesson 1.2: Advanced Change Management & Stakeholder Mobilization
Lesson 1.3: Portfolio Selection, Hoshin Kanri, & Financial Tracking
Lesson 1.4: Team Dynamics, Coaching Green Belts, & Conflict Resolution
Lesson 1.5: Benchmarking & Design for Six Sigma (DFSS) Overview

02 Define Phase – Advanced Project Framing 0 lessons

03 Measure Phase – Advanced Data & Measurement Systems 0 lessons

04 Analyze Phase – Statistical Inference & Multi-Vari Analysis 0 lessons

05 Improve Phase – Design of Experiments (DOE) & Optimization 0 lessons

06 Control Phase – Advanced SPC & Institutionalization 0 lessons

07 Course Review & Executive Certification 0 lessons

Meet your Instructor

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Frequently asked questions

Q1. What are the key prerequisites for the Black Belt certification?

While a formal Green Belt certificate is highly recommended, it is not strictly mandatory if you possess a strong foundation in foundational DMAIC methodologies and intermediate business mathematics or statistics.

Q2. What is the primary role of a Black Belt compared to a Green Belt?

Green Belts typically lead departmental optimization projects on a part-time basis. Black Belts act as full-time project leaders, internal consultants, and strategic change agents who tackle high-financial-impact, enterprise-wide issues and mentor lower-tier belts.

Q3. Do I need specialized statistical software for this course?

Yes. To perform the advanced multi-variate modeling, ANOVA, and Design of Experiments (DOE) taught in this curriculum, you will use standard data analysis platforms like Minitab, SigmaXL, or advanced statistical plug-ins for Microsoft Excel.

Q4. Does this training include a capstone project requirement?

Yes. To fully validate Black Belt competency, the course requires navigating a detailed, simulated enterprise capstone project or submitting a real-world workplace project implementation for master review.