Lean Six Sigma Green Belt Certification Training

Overview: Six Sigma and the Organization  0/4

• Lecture1.1
  Six Sigma and Organizational Goals
• Lecture1.2
  Value of Six Sigma
• Lecture1.3
  Organizational drivers and metrics
• Lecture1.4
  Organizational goals and Six Sigma projects

Lean Principles in the Organization  0/3

• Lecture2.1
  Lean concepts and tools
• Lecture2.2
  Value-added and non-value-added activities
• Lecture2.3
  Theory of constraints

Design for Six Sigma (DFSS) in the Organization  0/3

• Lecture3.1
  Quality function deployment (QFD)
• Lecture3.2
  Design and process failure mode and effects analysis (DFMEA & PFMEA)
• Lecture3.3
  Road maps for DFSS

Six Sigma-Define  0/0

Process Management for Projects  0/6

• Lecture5.1
  Process elements
• Lecture5.2
  Owners and stakeholders
• Lecture5.3
  Identify customers
• Lecture5.4
  Collect customer data
• Lecture5.5
  Analyze customer data
• Lecture5.6
  Translate customer requirements

Project Management Basics  0/7

• Lecture6.1
  Project charter and problem statement
• Lecture6.2
  Project scope
• Lecture6.3
  Project metrics
• Lecture6.4
  Project planning tools
• Lecture6.5
  Project documentation
• Lecture6.6
  Project risk analysis
• Lecture6.7
  Project closure

Management and Planning Tools  0/0

Business Results for Projects  0/2

• Lecture8.1
  Process performance
• Lecture8.2
  Failure mode and effects analysis (FMEA)

Team Dynamics and Performance  0/4

• Lecture9.1
  Team stages and dynamics
• Lecture9.2
  Six Sigma and other team roles and responsibilities
• Lecture9.3
  Team tools
• Lecture9.4
  Communication

Six Sigma-Measure  0/0

Process Analysis and Documentation  0/2

• Lecture11.1
  Process modeling
• Lecture11.2
  Process inputs and outputs

Probability and Statistics  0/3

• Lecture12.1
  Drawing valid statistical conclusions
• Lecture12.2
  Central limit theorem and sampling distribution of the mean
• Lecture12.3
  Basic probability concepts

Collecting and Summarizing Data  0/5

• Lecture13.1
  Types of data and measurement scales
• Lecture13.2
  Data collection methods
• Lecture13.3
  Techniques for assuring data accuracy and integrity
• Lecture13.4
  Descriptive statistics
• Lecture13.5
  Graphical methods

Probability Distributions  0/0

Measurement System Analysis  0/0

Process Capability and Performance  0/6

• Lecture16.1
  Process capability studies
• Lecture16.2
  Process performance vs. Specification
• Lecture16.3
  Process capability indices
• Lecture16.4
  Process performance indices
• Lecture16.5
  Short-term vs. long-term capability
• Lecture16.6
  Process capability for attributes data

Six Sigma-Analyze  0/0

Exploratory Data Analysis  0/2

• Lecture18.1
  Multi-vari studies
• Lecture18.2
  Simple linear correlation and regression

Hypothesis Testing  0/5

• Lecture19.1
  Basics
• Lecture19.2
  Tests for means, variances, and proportions
• Lecture19.3
  Paired-comparison tests
• Lecture19.4
  Single-factor analysis of variance (ANOVA)
• Lecture19.5
  Chi square

Six Sigma-Improve and Control  0/3

• Lecture20.1
  Design of Experiments (DOE)
• Lecture20.2
  Basic terms
• Lecture20.3
  Main effects.

Statistical Process Control (SPC)  0/6

• Lecture21.1
  Objectives and benefits
• Lecture21.2
  Rational subgrouping
• Lecture21.3
  Selection and application of control charts
• Lecture21.4
  Analysis of control charts
• Lecture21.5
  Implement and Validate Solutions
• Lecture21.6
  Control Plan