Lean Six Sigma Green Belt

 

Project Management Course Demo

Lean Six Sigma Green Belt

The Lean Six Sigma Green Belt online training course provides students the knowledge and skills to work on Six Sigma projects within their organization with a fundamental understanding of all Six Sigma concepts and a focus on data collection and analysis. Six Sigma Green Belt certifies the employee to serve as a trained team member within his or her function-specific area of the organization. This focus allows the Green Belt to work on small, carefully defined Six Sigma projects, requiring less than a Black Belt’s full-time commitment to Six Sigma throughout the organization.

Exam: CSSC Six Sigma Green Belt Certification Exam

Instructor:

Ashley Hunt, PMP, PMI-ACP

Course Information

Skills Learned

Students will learn:

  • To identify which quality improvement projects are most necessary to undertake.
  • Ways to analyze quality issues in a variety of different formulas, charts, and graphs.
  • The roles and responsibilities of a Six Sigma team.
  • How to use Excel or MiniTab programs to document and analyze the information they are collecting.
  • The correct information to pass both the Yellow and Green belt certification exams.

Who Should Attend This Course

  • Engineers
  • Operations
  • Quality Engineers
  • Project Managers
  • Continuous Improvement Specialists
  • Architects and Managers
  • Team Leaders

Prerequisites

None

Course Outline

Introduction to Six Sigma

  • What is Six Sigma?
  • Six Sigma History and Application
  • Other Process Improvement and Quality Methods
  • Lean Concepts
  • Basic Six Sigma Concepts

Projects and processes

  • Approaching the Problem
  • What is a Process?
  • Quality Management
  • Selecting the Right Projects
  • Basic Six Sigma Team Management
  • Introduction to DMAIC and DMADV

Advanced DMAIC

  • Define
  • Measure
  • Analyze
  • Improve
  • Control

Beginner Statistics

  • Intermediate Graphical Analysis
  • Normal Probability Distributions
  • Correlation and Regression

Intermediate Statistics

  • Non-Normal Probability Distributions
  • Hypothesis Testing
  • Sample Size
  • Advanced Control Charts
  • Applying Statistics to Business Applications Through 6 Sigma

CLASS START DATES



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