Evolutionary Operations (EVOP) – Incremental experimentation for continuous processes, including cycles and phases.Multiple Response Optimization – Finding the best combination of results with 2 output variables, starting with response surface optimization, modeling and reducing each output, examples with software.Optimization Designs – Conducting experiments with more than 2 levels, Response Surface Methodology (RSM), Contour Plot, Path of Steepest Ascent (PoA), Modeling curvature, Central Composite Design (CCD), Central Composite Face Design (CCF), Augmenting a Design, Model Restriction, Contour Plot, Surface Plot, Box-Behnken Design. ![]() Sample Size Calculations – Techniques for sampling (simple random, stratified, cluster, systematic, subgroup), recommended sample sizes, Decision errors (alpha, beta, delta), Sample Size calculator (examples for ANOVA, Hypothesis Tests, proportion tests).General Factorial Designs – Experiments with different number of levels for each factor (some have 2, some have 3+), and topics such as Design Matrix, Predict Functions, Balanced ANOVA, General Linear Model, examples with software.Fractional Factorials Designs – More efficient experiments by strategically removing some combination of factors, including topics such as screening variable, Full vs Fractional Factorial experiments, Confounding, Design Resolution, examples with software.Full Factorials – Experiments running all combination of factors, including concepts of Pareto chart analysis, Factorial plots, 2 3 factorial designs, 3-factor interactions, Curvature, Center points, Randomization, examples with software.DOE Planning – Questions and best practices for setting up a designed experiment (DOE).Multiple Regression – Using regression with multiple inputs, along with ways to create matrix plot, scatterplot, coefficients of determination, R-squared Adjusted, Test for Overall Significance, t Test, Collinearity, Variance Inflation Factor (VIF), Residual Plot, Transforming Data, Best Subsets Regression, Coding Categorial Predictors, Stepwise Regression, examples with software.Advanced Capability and Data Transformation – Capability analysis with nonnormal data sets, one-sided limits and bounds, examples with software.Advanced Measurement Systems Analysis (MSA) – Review of MSA concepts, Interpreting charts, Variance Component Model, Central Limit Theorem with MSA, Attribute MSA, Kappa statistic, examples with software.Central Limit Theorem – Explanation with averaging of subgroups converge to a normal distribution, along with simulation with data, Poisson distribution, Normal Probability Plot, Sampling plans, Confidence Intervals, t-distribution, examples with software.Green Belt Review – DMAIC methodology and roadmap along with key tools, Project Charter, Project Tracking, Hypothesis and Decision Risk, and Multi-Vari Study.Green Belt Training (skips if you’ve already completed).Yellow Belt Training (skips if you’ve already completed).White Belt Training (skips if you’ve already completed).Not sure what is the best for you? Let us help you in making a choice » Course Content ![]() ![]() You can choose to register for Minitab-based or SigmaXL-based training program. This course includes all the Green Belt course material.Īs a Six Sigma Black Belt, your mastery of Six Sigma techniques and strategies will help you lead top-quality projects and mentor Green Belts in your organization, where together you will identify and implement breakthrough improvements for enhanced bottom-line results. Once you are certified, you will be able to join successful project managers, improvement consultants, analysts, supervisors, managers, leaders and individual contributors who are saving and avoiding significant costs by improving productivity, reducing waste, variation and defects. Black Belt is one of the most sought-after certifications in process improvement. ![]() Lean Six Sigma Black Belt Training program covers both the Green Belt and Black Belt course material, and introduce new tools and statistical analysis to address more difficult or challenging problems.
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