Six Sigma Black Belt

Black Belts are the heart and soul of the Six Sigma quality initiative. Typically the “best of the best,” their main purpose is to lead projects and work full time until they are complete. They work on chronic issues that are negatively impacting the company’s performance. As a general rule of thumb, one to two percent of a company’s workforce will be a BB. BB is 4 weeks classroom training or 2 weeks on top of the GB training.



  • Develop a robust concept of Six Sigma
  • Review roles and responsibilities for process improvements
  • Refine project selection working with Six Sigma Champions
  • Identify necessary project management skills required to implement change in processes
  • Develop basic process mapping skills
  • Develop basic software skills in required applications


Skills Gained :

  • Knowledge of the “anatomy” of a Six Sigma project
  • Learn and practice Advanced tools essential to achieving Six Sigma Breakthrough
  • Have full command of the tools critical to measuring and analyzing complex problems
  • Equipped to guide multiple project teams in learning when and how to use the problem-solving tools in the Six Sigma process
  • Skilled to identify and resolve chronic problems and avoid costly deficiencies.




  • Lecture 1.1 Overview of Six Sigma Locked 0m
  • Lecture 1.2 DMAIC Methodology Overview Locked 0m
  • Lecture 1.3 Financial Benefits of Six Sigma Locked 0m
  • Lecture 1.4 Project Management Locked 0m
  • Lecture 1.5 Developing a Business Case Locked 0m
  • Lecture 1.6 Gathering Voice of the Customer, Support for Project Locked 0m
  • Lecture 1.7 Translating Customer Needs into Specific Requirements (CTQs) Locked 0m
  • Lecture 1.8 Defining Metrics Locked 0m
  • Lecture 1.9 Measurement System Analysis Locked 0m
  • Lecture 1.10 Data Collection Techniques Locked 0m
  • Lecture 1.11 Calculating Sample Size Locked 0m
  • Lecture 1.12 Data Collection Plan Locked 0m
  • Lecture 1.13 Understanding Variation Locked 0m
  • Lecture 1.14 Measuring Process Capability Locked 0m
  • Lecture 1.15 Calculating Process Sigma Level Locked 0m
  • Lecture 1.16 Rolled Throughput Yield Locked 0m
  • Lecture 1.17 Visually Displaying Baseline Performance Locked 0m
  • Lecture 1.18 Cause and Effect Analysis (a.k.a. Fishbone, Ishikawa) Locked 0m
  • Lecture 1.19 Data Segmentation and Stratification Locked 0m
  • Lecture 1.20 Correlation and Regression (Linear, Multiple) Locked 0m
  • Lecture 1.21 Process Performance (Cp, CpK, Pp, PpK, CpM) Locked 0m
  • Lecture 1.22 Short Term Versus Long Term Capability Locked 0m
  • Lecture 1.23 Non-Normal Data Distribution Transformations Locked 0m
  • Lecture 1.24 Central Limit Theorem Locked 0m
  • Lecture 1.25 Goodness of Fit Testing Locked 0m
  • Lecture 1.26 Hypothesis Testing Locked 0m
  • Lecture 1.27 Analysis of Variance (ANOVA), Two Sample T-Tests, Chi Squared Test Locked 0m
  • Lecture 1.28 Design of Experiments (DOE) – Full, Fractional Factorials, Advanced Designs Locked 0m
  • Lecture 1.29 Leading Organizational Change Locked 0m
  • Lecture 1.30 Case studies and examples are used to allow participants to experience real situations