What will you learn in Six Sigma Green Belt Certification Training Course
Master the DMAIC roadmap—Define, Measure, Analyze, Improve, Control—for process improvement
Apply key Six Sigma tools: SIPOC, CTQ trees, process mapping, statistical measurement systems analysis, and hypothesis testing
Use Lean techniques—5S, Kaizen events, Value Stream Mapping—to eliminate waste and streamline workflows
Program Overview
Module 1: Introduction to Six Sigma & Lean Principles
⏳ 2 hours
Topics: History of Six Sigma, Lean mindset, roles (Champion, Black Belt, Green Belt)
Hands-on: Develop a project charter and map current-state process with SIPOC
Module 2: Define Phase
⏳ 3 hours
Topics: Voice of the Customer (VOC), CTQ identification, project scoping, stakeholder analysis
Hands-on: Create CTQ trees and a detailed process map for a sample business scenario
Module 3: Measure Phase
⏳ 4 hours
Topics: Data collection planning, Measurement System Analysis (MSA), descriptive statistics, capability studies
Hands-on: Conduct a gauge R&R study in Minitab and compute process sigma level
Module 4: Analyze Phase
⏳ 5 hours
Topics: Root-cause analysis (5 Whys, Fishbone), hypothesis testing (t-test, ANOVA), regression analysis
Hands-on: Use Minitab to run ANOVA and regression on collected data to identify key drivers of variation
Module 5: Improve Phase
⏳ 4 hours
Topics: Lean tools (5S, kaizen), Design of Experiments (DoE), FMEA for risk mitigation, pilot testing
Hands-on: Design a factorial experiment in Minitab and develop an FMEA for improvement ideas
Module 6: Control Phase
⏳ 3 hours
Topics: Control charts (X-R, p, c), standard operating procedures (SOPs), process control plans, SPC implementation
Hands-on: Create X-R control charts in Minitab and draft a control plan to sustain gains
Module 7: Green Belt Certification Preparation
⏳ 2 hours
Topics: Exam syllabus review, sample questions, tips for ASQ CSSGB/ICGB exams
Hands-on: Take a timed mock exam and review solution strategies
Module 8: Capstone Project – End-to-End DMAIC
⏳ 6 hours
Topics: Full DMAIC application to a real process—charter, measure, analyze, improve, control
Hands-on: Execute a mini-DMAIC project using supplied dataset, present findings, and quantify benefits
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Job Outlook
Six Sigma Green Belt: $80,000–$110,000/year — lead process-improvement initiatives in manufacturing, healthcare, and services
Process Excellence Analyst: $75,000–$100,000/year — apply Lean Six Sigma to optimize operational efficiency
Continuous Improvement Manager: $90,000–$130,000/year — manage cross-functional improvement projects for quality and cost reduction
Specification: Six Sigma Green Belt Certification Training Course
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FAQs
- Basic familiarity with R is helpful but not mandatory.
- Covers RStudio setup, package installation, and data types.
- Introduces
dplyr,tidyr, andreadrfor data cleaning and manipulation. - Teaches building visualizations with
ggplot2andplotly. - Hands-on exercises ensure practical understanding of concepts.
- Implement descriptive statistics, t-tests, chi-square tests, and ANOVA.
- Build linear and logistic regression models.
- Train decision trees and random forests using
caret. - Evaluate model performance with accuracy, RMSE, and cross-validation.
- Gain practical experience through hands-on projects with real datasets.
- Develop interactive dashboards using Shiny.
- Create dynamic plots and visualizations with
plotly. - Automate reporting via R Markdown.
- Combine visualization and modeling for end-to-end projects.
- Present data-driven insights effectively for stakeholders.
- Prepare for Data Analyst and Business Intelligence roles.
- Gain skills in data cleaning, visualization, and modeling.
- Build end-to-end projects for portfolio showcasing.
- Learn best practices for reproducible analysis workflows.
- Apply skills in finance, healthcare, marketing, and tech domains.
- Hands-on exercises for data import, cleaning, and manipulation.
- Explore data trends with exploratory data visualization.
- Build predictive models and evaluate their performance.
- Deploy a Shiny app showcasing project insights.
- Complete a capstone project covering the full analytics workflow.
