Six Sigma Green Belt

COURSE OVERVIEW

Define Measure Analyse Improve and Control – DMAIC

Train to understand the foundation of Six Sigma, using Six Sigma Green Belt techniques and tools to improve processes and confirm your level of expertise with a certification.

On-Demand, Bootcamp or Virtual Classroom options

Access online course content, videos, exercises, discussions and chats

Pre and post course assessments

Virtual labs for hands-on experience

Live lab add-ons available

Develop real-life skills you can apply in the workplace with Live Labs

Access to over 25,000 e-books and 30,000 downloadable video tutorials

Expert mentoring and coaching to answer questions and guide your learning

Course completion certificates

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1

GREAT OPPORTUNITY

Rewarding career opportunities exist for professionals who certify their level of expertise with a Six Sigma Green Belt certification.

2

LEARN IN-DEMAND SKILLS

Six Sigma professionals are in high-demand across a variety of industries. Achieve a Six Sigma Green Belt certification and enjoy lucrative employment opportunities.

3

GLOBALLY RECOGNIZED

Six Sigma certifications are globally recognized and provide employment opportunities for those who train for certification.

Course guide

Qualification: Six Sigma Green Belt

Study time: Full time – eight to ten days | Part time – two to four months

Vendor: Six Sigma

Student support: Success Advisors

Prerequisites: None

Assessment: Exam based – SSGB

Resources: Internet access and email

Ideal for: Process managers, quality assurance managers, project managers + production managers

Modules

  • Six Sigma and lean in the organisation
  • Design for Six Sigma in the organisation
  • 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
  • Modelling and analysing processes
  • Statistics and probability
  • Data classification and collection
  • Summarising and presenting data
  • Probability distributions and measurement systems analysis
  • Measuring process capability and performance
  • Exploratory data analysis Introduction to hypothesis testing and testing for means
  • Hypothesis tests for variances proportions anova and chi-square
  • Design of experiments and validation of solutions
  • Statistical process control plans
  • Using basic control charts

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  • Global community of peers
  • Training mapped to Six Sigma exam curriculum
  • Award winning training used globally by leading corporate clients