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Business

Certified Six Sigma Black Belt


Description
Six Sigma (SS) is one of the most versatile and in-demand skill sets in business today*. It is a methodology that utilizes statistical tools and concepts to identify variations or defects in a process and can accelerate development, enhance product quality, eliminate waste, and raise revenue. When executed correctly, this business methodology can work wonders to advance a career or bolster a company’s bottom line.
Content
  • Define Phase
  • Six Sigma Overview
  • What is Six Sigma
  • Six Sigma History
  • Six Sigma Approach
  • Six Sigma Methodology
  • Six Sigma Fundamentals
  • Defining a Process
  • VOC and CTQs
  • QFD
  • Cost of Poor Quality (COPQ)
  • Pareto Analysis (80 : 20 rule)
  • Six Sigma Projects
  • Six Sigma Metrics
  • Business Case and Charter
  • Project Team Selection
  • Project Risk Management
  • Project Planning
  • Lean Fundamentals
  • Lean and Six Sigma
  • History of Lean
  • The Seven Deadly Muda
  • Five-S (5S)
  • Review Exam
  • Define Phase Exam
  • MEASURE PHASE
  • Process Definition
  • Cause and Effect Diagrams
  • Cause and Effects Matrix
  • Process Mapping
  • FMEA: Failure Modes and Effects Analysis
  • Theory of Constraints
  • Six Sigma Statistics
  • Basic Statistics
  • Descriptive Statistics
  • Distributions and Normality
  • Graphical Analysis
  • Measurement System Analysis
  • Precision and Accuracy
  • Bias, Linearity, and Stability
  • Gage R&R
  • Variable and Attribute MSA
  • Process Capability
  • Capability Analysis
  • Concept of Stability
  • Attribute and Discrete Capability
  • Monitoring Techniques
  • Review Exam
  • Measure Phase Exam
  • ANALYZE PHASE
  • Patterns of Variation
  • Patterns of Variation
  • Multi-Vari Analysis
  • Classes of Distribution
  • Inferential Statistics
  • Understanding Inference
  • Sampling Techniques
  • Sample Size
  • Central Limit Theorem
  • Hypothesis Testing
  • Goals of Hypothesis Testings
  • Statistical Significance
  • Risk, Alpha & Beta
  • Types of Hypothesis Tests
  • Hypothesis Testing: Normal Data
  • one & Two Sample T-Tests
  • One Sample Variance
  • One Way ANOVA
  • Hyp Testing: Non-Normal Data
  • Mann - Whitney
  • Kruskal - Wallis
  • Mood's Median
  • Friedman
  • One Sample Sign
  • One Sample Wilcoxon
  • One & Two Sample Proportion
  • Chi- Squared
  • Test of Equal Variance
  • IMPROVE PHASE
  • Simple Linear Regression
  • Correlation
  • X-Y Diagram
  • Regression Equations
  • Residuals Analysis
  • Multiple Regression Analysis
  • Non-Linear Regression
  • Multiple Linear Regression
  • Confidence & Prediction Intervals
  • Designed Experiments
  • Full Factorial Experiments
  • Fractional Factorial Experiments
  • Final Exam
Completion rules
  • All units must be completed
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