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Lean Six Sigma Yellow Belt Course
More than 2 million students worldwide

Lean Six Sigma Yellow Belt Course

The Lean Six Sigma Yellow Belt Course gives you the tools, frameworks, and analytical skills to drive measurable process improvements in any industry. You'll master the DMAIC roadmap, core Lean principles, and data-driven problem-solving techniques that organizations rely on every day. This course prepares you to contribute to improvement projects, earn your Yellow Belt certification, and build a foundation for advancing to Green Belt and beyond.

Dedika for businesses

What you will learn:

In this course, you will build a complete understanding of Lean Six Sigma from the ground up, starting with its history and core philosophy and moving through every phase of the DMAIC framework. You will learn how to define problems clearly, collect and analyze reliable data, identify root causes, and implement solutions that stick. The curriculum covers essential Lean tools including 5S, Value Stream Mapping, and mistake-proofing, as well as statistical basics like control charts and Pareto analysis. You will also develop practical skills in stakeholder communication, team facilitation, and change management. By the end, you will be ready to support improvement projects, pass a recognized Yellow Belt certification exam, and contribute real value to your organization.

How you study in practice Lean Six Sigma Yellow Belt Course

How you practice Lean Six Sigma Yellow Belt Course

For companies that want to train their team

With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 37 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Introduction to Lean Six Sigma

  • Lesson 1 • Core Philosophy and Principles

    Explains the dual focus on waste elimination and variation reduction as complementary goals. Connects philosophy to measurable business outcomes students will pursue.

  • Lesson 2 • Business Case for LSS

    Quantifies cost of poor quality, customer satisfaction impact, and competitive advantage from LSS. Prepares students to justify improvement initiatives to stakeholders.

  • Lesson 3 • Belt Levels and Organizational Roles

    Maps White, Yellow, Green, Black, and Master Black Belt responsibilities within a deployment structure. Clarifies Yellow Belt's specific contribution to team-based projects.

  • Lesson 4 • Origins and Evolution of LSS

    Traces Lean's roots in Toyota production and Six Sigma's origin at Motorola, then their merger. Establishes historical context that frames all subsequent methodology choices.

Chapter 2See details

Understanding the DMAIC Framework

  • Lesson 1 • Measure Phase Essentials

    Introduces baseline data collection, process mapping, and initial capability assessment as Measure outputs. Connects measurement rigor to credible analysis in the next phase.

  • Lesson 2 • DMAIC Overview and Logic

    Presents DMAIC as a hypothesis-driven cycle that replaces guesswork with evidence. Shows how each phase gates the next, preventing premature solutions.

  • Lesson 3 • Analyze, Improve, and Control Essentials

    Surveys root cause identification, solution selection, and control plan creation as the final three phases. Provides a complete mental model before deep dives in later chapters.

  • Lesson 4 • Define Phase Essentials

    Covers problem statement writing, project scoping, and stakeholder identification as Define outputs. Students practice translating business pain into a bounded improvement opportunity.

Chapter 3See details

Defining the Problem and Project

  • Lesson 1 • Writing Effective Problem Statements

    Guides students through the five elements of a strong problem statement: what, where, when, magnitude, and impact. Prevents scope creep and solution bias from the start.

  • Lesson 2 • Building the Project Charter

    Covers each charter section—business case, goal statement, scope, team, and timeline—and how they interlock. Students draft a charter ready for sponsor review.

  • Lesson 3 • Stakeholder Analysis and Communication

    Maps stakeholder influence and interest to tailor engagement strategies throughout the project. Ensures Yellow Belts can maintain sponsor support and team alignment.

  • Lesson 4 • Capturing the Voice of the Customer

    Teaches methods for gathering, segmenting, and translating customer feedback into measurable requirements. Links VOC directly to project goal-setting in the charter.

  • Lesson 5 • SIPOC and Process Scoping

    Constructs a Suppliers-Inputs-Process-Outputs-Customers diagram to bound the process under study. Establishes shared team understanding before detailed mapping begins.

Chapter 4See details

Measurement Fundamentals

  • Lesson 1 • Process Mapping for Measurement

    Uses detailed process maps to identify measurement points, handoffs, and potential defect locations. Connects mapping to targeted data collection rather than broad data gathering.

  • Lesson 2 • Baseline Metrics and Sigma Calculation

    Calculates defects per million opportunities, yield, and sigma level to quantify current performance. Establishes the numeric baseline against which improvement will be measured.

  • Lesson 3 • Types of Data and Measurement Scales

    Distinguishes continuous from discrete data and nominal, ordinal, interval, and ratio scales. Correct data type selection drives appropriate tool choices throughout the project.

  • Lesson 4 • Introduction to Measurement System Analysis

    Introduces gage repeatability and reproducibility concepts to assess whether the measurement system is trustworthy. Prevents drawing false conclusions from unreliable data.

  • Lesson 5 • Operational Definitions and Data Collection Plans

    Teaches how to write unambiguous operational definitions that ensure consistent measurement across collectors. A structured data collection plan prevents bias and gaps.

Chapter 5See details

Basic Data Analysis and Statistics

  • Lesson 1 • Graphical Analysis Tools

    Teaches histograms, box plots, run charts, and scatter diagrams to visualize data distributions and trends. Visual tools reveal patterns that summary statistics alone can obscure.

  • Lesson 2 • Normal Distribution and Probability Basics

    Explains the normal curve, empirical rule, and z-scores as foundations for capability and hypothesis testing. Builds intuition for how variation relates to defect probability.

  • Lesson 3 • Pareto Analysis and Prioritization

    Applies the 80/20 principle through Pareto charts to focus improvement effort on the vital few causes. Directly supports root cause prioritization in the Analyze phase.

  • Lesson 4 • Descriptive Statistics Essentials

    Covers mean, median, mode, range, variance, and standard deviation as measures of center and spread. These metrics form the quantitative language of process performance discussions.

Chapter 6See details

Root Cause Analysis Techniques

  • Lesson 1 • Data-Driven Cause Verification

    Introduces stratification, scatter plots, and basic hypothesis framing to confirm suspected root causes with evidence. Separates confirmed causes from unverified opinions.

  • Lesson 2 • Selecting and Prioritizing Root Causes

    Applies impact-effort matrices and multi-voting to narrow the verified cause list to actionable priorities. Ensures team resources target the highest-leverage root causes.

  • Lesson 3 • Cause-and-Effect Diagram

    Constructs fishbone diagrams using the 6M categories to brainstorm and organize potential causes. Provides a structured team tool that prevents overlooking major cause categories.

  • Lesson 4 • Five Whys Analysis

    Applies iterative questioning to drill from symptom to root cause without jumping to solutions. Teaches when to stop asking and how to validate the identified root cause.

  • Lesson 5 • Process Analysis for Root Causes

    Uses value stream and detailed process maps to locate where defects, delays, and waste originate. Grounds root cause analysis in actual process flow rather than assumptions.

Chapter 7See details

Lean Tools for Waste Elimination

  • Lesson 1 • The Eight Wastes of Lean

    Defines DOWNTIME wastes—Defects, Overproduction, Waiting, Non-utilized talent, Transportation, Inventory, Motion, Extra-processing—with workplace examples. Builds a waste-spotting mindset applicable to any industry.

  • Lesson 2 • 5S Workplace Organization

    Applies Sort, Set in Order, Shine, Standardize, and Sustain to create a stable, visual workplace. A well-implemented 5S foundation enables all other Lean improvements.

  • Lesson 3 • Value Stream Mapping

    Teaches current-state and future-state VSM to visualize material and information flow across the entire value stream. Reveals systemic waste invisible in isolated process maps.

  • Lesson 4 • Visual Management and Mistake-Proofing

    Covers visual controls, andon signals, and poka-yoke devices that make process status and errors immediately obvious. Embeds quality and transparency into the process itself.

  • Lesson 5 • Flow and Pull Principles

    Introduces one-piece flow, takt time, and kanban-based pull systems to match production to customer demand. Reduces overproduction and inventory waste simultaneously.

Chapter 8See details

Improve, Control, and Sustaining Gains

  • Lesson 1 • Project Closure and Knowledge Transfer

    Covers final results documentation, lessons-learned capture, and formal handoff to process owners. Ensures improvement gains survive personnel changes and project team disbanding.

  • Lesson 2 • Statistical Process Control Basics

    Introduces control charts—I-MR and p-charts—to distinguish common cause from special cause variation. Enables teams to detect process shifts before they produce defects.

  • Lesson 3 • Solution Generation and Selection

    Applies brainstorming, benchmarking, and solution selection matrices to generate and choose the best countermeasures. Balances impact, feasibility, and risk before committing resources.

  • Lesson 4 • Control Plans and Standard Work

    Builds control plans that specify what to monitor, how often, and what to do when limits are breached. Standard work documents lock in the improved method for all operators.

  • Lesson 5 • Piloting and Testing Solutions

    Designs small-scale pilots to validate solution effectiveness before full deployment. Teaches how to measure pilot results and decide whether to proceed, adjust, or abandon.

Certification

Your valid completion certificate

This course is for you:

  • Operations coordinator: wants a proven method to eliminate recurring workflow bottlenecks.

  • Healthcare administrator: seeks to reduce patient wait times and administrative errors systematically.

  • Career changer: transitioning into quality or operations and needs a credentialed starting point.

  • Manufacturing technician: ready to move from the floor into a formal improvement support role.

  • Financial services analyst: looking to apply process discipline to high-volume transactional workflows.

  • Recent graduate: building a competitive edge before entering a process-intensive industry.

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