Six Sigma Green Belt Certification (SSGB) - E-Learning


a
Candidates seeking Six Sigma Green Belt certification consist of: quality professionals, engineers, production managers, frontline supervisors, and all individuals including process owners and champions, charged with the responsibility of improving quality and processes at the organizational or departmental level. The Six Sigma Green Belt requires three years of work experience in one or more areas of the Six Sigma Green Belt Body of Knowledge.

Six Sigma Green Belt (SSGB)

 

About This Course

Six Sigma is a highly disciplined, data-driven improvement program that helps companies focus on eliminating defects in any process and delivering near-perfect products and services. Six Sigma has been globally accepted as a profitable and winning business strategy. More and more companies are embracing Six Sigma in a time when competition and sluggish markets have left operational efficiency and quality improvement as the only way to protect margins and win customer loyalty.

 

Target Audience

Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

 

Course Overview

This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.

 

Lessons

  • Six Sigma and Lean in the Organization
  • Design for Six Sigma in the Organization
  • Processes and Customer Analysis in Six Sigma Projects
  • Basics of Six Sigma Projects and Teams
  • Tools for Planning and Managing Six Sigma Project Opportunities
  • Using Six Sigma Analysis Tools and Metrics for Project Decisions
  • Modeling and Analyzing Processes in Six Sigma
  • Statistics and Probability in Six Sigma
  • Data Classification and Collection in Six Sigma
  • Summarizing and Presenting Data in Six Sigma
  • Probability Distributions and Measurement Systems Analysis in Six Sigma
  • Measuring Process Capability and Performance in Six Sigma
  • Exploratory Data Analysis in Six Sigma
  • Introduction to Hypothesis Testing and Testing for Means in Six Sigma
  • Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square in Six Sigma
  • Design of Experiments and Validation of Solutions in Six Sigma
  • Statistical Process Control and Control Plans in Six Sigma
  • Using Basic Control Charts in Six Sigma

 

blog comments powered by Disqus