Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Beginner
  • Assessment NA

Venue

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Certified Lean Six Sigma Green Belt (CLSSGB)

Course Code: C481

What's This Course About

The Certified Lean Six Sigma Green Belt course provides a solid foundation in the Six Sigma methodology, focusing on the DMAIC (Define, Measure, Analyze, Improve, Control) workflow. Participants will gain in-depth knowledge on project selection, problem-solving techniques, and data-driven process improvement tools. From defining clear project goals to using advanced statistical methods, the course empowers professionals to lead improvement initiatives effectively.

The course also covers critical concepts such as root cause analysis, process control strategies, and Six Sigma improvement tools like FMEA, DOE, and Kaizen. By the end of the program, participants will be well-equipped to manage Six Sigma projects, reduce process variations, and achieve higher operational efficiency in their organizations.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee ₵5,500.00 Before GST
GST ₵495.00 9% of fee
Baseline Nett ₵3,245.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵2,145.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Certified Lean Six Sigma Green Belt (CLSSGB) Training

Course Fee

₵5,500.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

This course prepares you for the CLSSGB-001 certification exam, covering all official exam domains:

Domain 1 Six Sigma and Organizational Goals

  • Define what Six Sigma is and its value proposition
  • Identify organizational drivers and metrics
  • Build the business case for a Six Sigma initiative
  • Align Six Sigma projects with organizational goals and strategy
  • Understand the Six Sigma implementation roadmap

Domain 2 Lean Principles in the Organization

  • Apply core Lean concepts and tools
  • Differentiate value-added vs. non-value-added activities
  • Apply the Theory of Constraints
  • Understand how Lean integrates with Six Sigma (Lean Six Sigma)

Domain 3 Design for Six Sigma (DFSS) in the Organization

  • Apply Quality Function Deployment (QFD)
  • Conduct Failure Mode and Effects Analysis (FMEA, DFMEA, PFMEA)
  • Follow a DFSS roadmap for new process/product design

Domain 4 Introduction to the Define Phase

  • Identify process elements and boundaries
  • Identify and analyze customers and Voice of the Customer (VOC)
  • Collect and analyze Define-phase data
  • Translate customer requirements into project requirements

Domain 5 Project Management Basics

  • Develop a project charter and define scope
  • Select and track project metrics
  • Use project planning tools
  • Perform risk analysis
  • Execute project closure procedures

Domain 6 Other Tools and Techniques

  • Apply Design of Experiments (DOE)
  • Use charting methods for process analysis
  • Apply core Six Sigma statistical fundamentals

Domain 7 Process Analysis and Documentation

  • Build process models and map inputs/outputs
  • Apply basic statistics and probability concepts
  • Interpret sampling distributions
  • Document process analysis findings

Domain 8 Collecting and Summarizing Data

  • Distinguish data types (continuous vs. discrete)
  • Apply data collection methods and plans
  • Ensure data integrity
  • Calculate descriptive statistics
  • Use graphical methods to summarize data

Domain 9 Lean Process Improvement

  • Apply Lean thinking to process improvement
  • Understand the Toyota Production System
  • Identify the types of waste (muda)
  • Apply the PDSA (Plan-Do-Study-Act) cycle
  • Run Kaizen events

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Six Sigma Green Belt Specialist
  • Process Improvement Analyst
  • Quality Assurance Manager
  • Continuous Improvement Specialist
  • Operations Manager
  • Manufacturing Process Engineer
  • Project Manager
  • Business Analyst
  • Quality Control Engineer
  • Lean Six Sigma Consultant
  • Data Analyst
  • Process Optimization Engineer
  • Supply Chain Manager
  • Production Supervisor
  • Industrial Engineer
  • Quality Improvement Coordinator
  • Process Excellence Consultant
  • Operations Analyst
  • Risk Management Specialist
  • Corporate Trainer for Lean Six Sigma

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (7)

Worth every cent Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 2/26/2024)
Highly recommended Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 1/9/2024)

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