Expand+Entry Requirements / Prerequisites
There are no entry requirements to complete this course, however before sitting the Six Sigma Green Belt examination, you are required to have three years of work experience in one or more areas of the Six Sigma Gr...

Hide-Entry Requirements / Prerequisites
There are no entry requirements to complete this course, however before sitting the Six Sigma Green Belt examination, you are required to have three years of work experience in one or more areas of the Six Sigma Green Belt Body of Knowledge. Work experience must be in a full time, paid role. Paid intern, co-op or any other course work cannot be applied towards the work experience requirement.

Technical Requirements
•Broadband internet connection.
•Browser – we recommend Chrome or Safari for Tablet or Apple Mac; and Firefox or Internet Explorer for PC hardware.
•Operating System – PC (Windows 7 or later), Mac or Android.

Expand+Course Details
According to Takashi Osada, Japanese author and quality pioneer, “if the process is right, the results will take care of themselves.” By Six Sigma standards, a “right process” is one that creates and delivers precisely what the custom...

Hide-Course Details
According to Takashi Osada, Japanese author and quality pioneer, “if the process is right, the results will take care of themselves.” By Six Sigma standards, a “right process” is one that creates and delivers precisely what the customer needs. It uses a set of quality management methods, including statistical methods, and creates a special infrastructure of people within the organisation who are experts in these methods.

This Green Belt Six Sigma course leads to certification by the ASQ through the Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation. ASQ (American Society for Quality) is the global leader in certifying quality professional and has been at the forefront of the quality movement for more than 65 years.

This course includes the following features:
•30 hours of instructor-led demonstrations and visual presentations to develop your skills based on real world scenarios.
•Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7.
•Flash Cards and Education Games are also provided throughout the course.
•Practice tests.

Who should complete this course?
•Front line supervisors, quality professionals, service owners.
•Quality Managers, Quality Consultants, Process Engineers and ISO Consultants.
•Business Process Engineers and Business Process consultants.
•Product technicians, IT Technician, Enterprise Technicians.

Expand+Six Sigma Foundations
•Introduction to Six Sigma
•Are you listening to your customers (Role of VOC in Six Sigma)
•Quick Wins in Six Sigma Implementation
•Six Sigma Versus TQM
•Lean Inbound Transportation
•Promoting Six Sigma in the Workplace
•...

Hide-Six Sigma Foundations
•Introduction to Six Sigma
•Are you listening to your customers (Role of VOC in Six Sigma)
•Quick Wins in Six Sigma Implementation
•Six Sigma Versus TQM
•Lean Inbound Transportation
•Promoting Six Sigma in the Workplace
•Critical-to-quality Tree – What’s That?
•Measurement Concepts in Six Sigma
•Does your Business Really Need Six Sigma?
•Identifying Candidates for Key Six Sigma Roles
•Kaizen Events

Organization
•Six Sigma and Lean in the Organization
•Design in the Organization

Define
•Processes and Customer Analysis in Projects
•Basics of Projects and Teams
•Tools for Planning and Managing Project Opportunities
•Using Analysis Tools and Metrics for Project Decisions

Measure
•Modelling and Analysing Processes
•Statistics and Probability
•Data Classification and Collection
•Summarizing and Presenting Data
•Probability Distributions and Measurement Systems Analysis
•Measuring Process Capability and Performance

Analyse
•Exploratory Data Analysis
•Introduction to Hypothesis Testing and Testing for Means
•Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square

Improve and Control
•Design of Experiments and Validation of Solutions
•Statistical Process Control and Control Plans
•Using Basic Control Charts