Lean Six Sigma Practical Skills & Green Belt Certification

Master Lean Six Sigma with practical Excel and Minitab tools. Prepare for certification success.

What you’ll learn
By the end of this course, you will have hands-on experience with key Lean Six Sigma tools like Fishbone Diagrams, Pareto Charts, and Regression Analysis
Learn how to use real-world data to identify root causes of inefficiencies, perform statistical analyses, and develop practical solutions to optimize processes
Gain the skills to define, measure, analyze, improve, and control business processes with a structured approach
This course will not only equip you with practical knowledge but also thoroughly prepare you for the Lean Six Sigma Green Belt certification exam

Requirements
While this course is beginner-friendly, a fundamental knowledge of business operations or workflows will help you grasp the concepts more quickly.

Description
Module 1: Introduction to Lean Six SigmaConcepts Covered:Overview of Lean and Six Sigma.The history and evolution of Lean Six Sigma.Practical importance of Lean Six Sigma across industries.Lean fundamentals: 7 Wastes, 5S methodology, and integration with Six Sigma.Module 2: Define Phase – Problem Solving EssentialsConcepts Covered:Defining project goals and scope.Understanding customer requirements (VOC, VOB).Developing a practical Project Charter and SIPOC analysis.Process mapping and flowchart creation.Module 3: Measure Phase – Data Collection & Baseline AnalysisConcepts Covered:Techniques for collecting accurate data and establishing baselines.Measurement System Analysis (MSA) including Gage R&R.Process Capability Analysis (Cp, Cpk).Practical tools for measuring and monitoring performance.Module 4: Analyze Phase – Identifying Root Causes (Part 1)Concepts Covered:Descriptive statistics and graphical analysis.Fishbone Diagrams and Pareto Analysis.Using data to identify root causes of process inefficiencies.Module 5: Analyze Phase – Advanced Analysis Techniques (Part 2)Concepts Covered:Hypothesis testing: Parametric (t-tests, ANOVA) and non-parametric (Mann-Whitney).Process door and data door analysis.Advanced statistical techniques for validating root causes.Module 6: Improve Phase – Practical Solutions & Optimization (Part 1)Concepts Covered:Brainstorming and implementing practical solutions using Lean tools.Regression analysis for process optimization.Using prioritization matrices to select the best improvement strategies.Module 7: Improve Phase – Process Redesign & Piloting (Part 2)Concepts Covered:Process redesign and workflow improvements.Design of Experiments (DOE) for optimizing processes.Implementing pilot tests and tracking results.Module 8: Control Phase – Sustaining ImprovementsConcepts Covered:Developing control plans and ensuring sustainability.Statistical Process Control (SPC) and non-SPC controls like Poka-Yoke.Continuous monitoring and feedback loops.Module 9: Lean Tools and Techniques for Continuous ImprovementConcepts Covered:Deep dive into Lean tools like Kanban, SMED, and TPM.Practical applications of Lean tools in Six Sigma projects.Fostering a Lean culture and continuous improvement mindset.

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 1.1 – 1 – Analyzing customer wait times scenario overview

Lecture 3 1.1 – 2 -Analyzing wait times example in excel

Lecture 4 1.1 -3 – Interpretation of Results after improvement

Lecture 5 1.1 -4 – Comparing Wait times using graph

Lecture 6 1.2-Example2-0 – Overview of optimizing inventory levels scenario

Lecture 7 1.2-Example2-1 – Inventory analysis before improvement using excel

Lecture 8 1.3 – Lean Six Sigma Methodologies

Lecture 9 7 wastes

Lecture 10 1.4-Example3-0 – Scenario overview of defect rate reduction

Lecture 11 1.4-Example3-1 – Creating Gantt Chart in Excel and Recap

Section 2: Module 2: Define Phase – Problem Solving Essentials

Lecture 12 Define Phase – Problem Solving Essentials

Lecture 13 2.2

Section 3: Module 3: Measure Phase – Data Collection & Baseline Analysis

Lecture 14 Measure Phase

Lecture 15 Measure Phase with example in Excel

Lecture 16 Measure Phase with example in Minitab

Section 4: Analyze Phase – Identifying Root Causes (Part 1)

Lecture 17 Analyze Phase – 1

Lecture 18 Analyze Phase – Reducing customer complaints scenario in Excel

Section 5: Module 5: Analyze Phase – Advanced Analysis Techniques (Part 2)

Lecture 19 Advanced Analysis Techniques (Part 2)

Section 6: Module 6: Improve Phase – Practical Solutions & Optimization (Part 1)

Lecture 20 Improve Phase 1

Lecture 21 Prioritization Matrix

Lecture 22 Regression Analysis

Section 7: Module 7: Improve Phase – Process Redesign & Piloting (Part 2)

Lecture 23 Improve Phase – Excel example

Section 8: Module 8: Control Phase – Sustaining Improvements

Lecture 24 Control Phase – Sustaining Improvements

Section 9: Module 9: Lean Tools and Techniques for Continuous Improvement

Lecture 25 Lean Tools and Techniques for Continuous Improvement

Section 10: Practice Problems

Lecture 26 ANOVA and DOE

Lecture 27 Confidence Interval

Lecture 28 Cost Analysis

Lecture 29 Descriptive Statistics

Lecture 30 Hypothesis Testing

Lecture 31 lean metrics and calculations

Lecture 32 Probability and Distributions

Lecture 33 Process Capability Sigma Level

Section 11: Final MCQs

Section 12: Course Materials

Lecture 34 Terms,Study Guide and Cheat Sheet

Professionals in Quality Management and Operations: Those working in quality control, operations management, or process improvement roles looking to enhance their skills with Lean Six Sigma tools and methodologies.,Aspiring Project Managers and Leaders: Individuals who want to lead Lean Six Sigma projects, optimize workflows, and drive operational excellence within their teams or organizations.,Engineers and Analysts: Industrial engineers, business analysts, and data-driven professionals aiming to apply Lean Six Sigma techniques to improve efficiency and reduce waste in manufacturing or service industries.,Students Preparing for Certification: Anyone looking to prepare thoroughly for the Lean Six Sigma Green Belt certification exam and seeking practical knowledge to excel in the test and their future career.