Top Lean Six Sigma Black Belt Course Material with Minitab Examples

This complete Lean Six Sigma Black Belt course with Minitab examples will prepare you to take up ASQ, IASSC or any other certification exam. If you are a trainer, then this is ready made content to deliver Lean Six Sigma training.

All the topics are well explained in simple language and you will find them easy to understand. Let me also tell you that you will not get this kind of content any where at this price range.

Along with this content you can also buy ASQ Question Bank, which will prepare you for any Black Belt exam. All these questions are designed in the line of what we actually get in the ASQ exams.

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This complete Six Sigma Black Belt course will prepare you to perform the role of a Black Belt; covering what’s necessary to successfully achieve Black Belt certification and performance standards. It includes problem solving with Minitab.

The Black Belt Six Sigma DMAIC course is broken into Week 1 and Week 2 and comprised of:

  • 791 slides and 20 data sets
  • Slide are well explained
  • Statistical analysis and tools explained with Minitab examples
  • Slides are designed for novices, trainers and consultants

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ASQ BB Question set with explained solution(85 questions) worth $ 8.99 Absolutely Free


John Murphy

Cory Hicks

Benjamin Obi Tayo

Fluff Miller

Absolute value for money !

Excellent material. I would recommend this course material to all who are trying to learn Six Sigma tools.

Very comprehensive CSSBB course material and the best part is the Minitab explanations.

I really liked the DOE part, well explained with examples


Understanding Six Sigma

Six Sigma Fundamentals

Selecting Projects

Kano’s Model

Identify Project CTQ

Project Charter


Summary: Define Deliverables


Understand CTQ Characteristics

Define Performance Standards

Quality Function Deployment (QFD)

Process Mapping

Pareto Analysis

Data Collection plan

Sampling and Sample size determination
Confidence Interval

Central Limit Theorem

Six Sigma Statistics

Measurement System Analysis

Summary: Measure Deliverables


Concept of Y and X’s

Defining Performance Objective

Process Capability

Sigma calculation

Distribution & Statistics


Box Plot

Normality Testing

Identification of X’s


What is Hypothesis Testing

Type I and Type II error


Hypothesis Testing

  • 1 Sample t-test
  • 2 Sample t-test
  • Homogeneity of variance
  • Paired t-test
  • Test for Proportions
  • Chi Square

Scatter plot and Correlation


General Linear Model

Summary: Analyze Deliverables


Characterization of X’s

Design of Experiment (DOE)

  • Explained with example
  • Identify factors
  • Choose factor levels
  • Select design
  • Randomize runs
  • Collect data
  • Draw conclusions
  • Full Factorial Experiments
  • Confounding

Pugh Matrix



Summary: Improve Deliverables


Need for process control

Quality plan

Lean Concepts

Statistical Process Control (SPC)

Summary: Control Deliverables