Six Sigma Yellow Belt — Tools in Practice

Go beyond awareness — collect data, map processes, and contribute meaningfully to Six Sigma projects. Hands-on with SIPOC, Pareto, and control charts.

3 hours 6 modules

The framework

DMAIC + Basic Statistical Tools

Yellow Belt extends DMAIC with practical tools: Project Charter and SIPOC for Define; data types and sampling for Measure; Fishbone, 5 Whys, and Pareto for Analyse; Solution Selection Matrix for Improve; and Control Charts for Control.

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How you'll learn

Text-first. Practice-heavy. No video lectures.

15-minute text lessons

Short, dense reading you can finish between meetings — not hour-long video lectures.

Hands-on exercises

Apply the framework to a realistic scenario, right in the module where you learned it.

Quizzes & assessments

Check your judgment, not just your memory — most questions are situational.

Certificate on completion

Finish a course and get a shareable certificate, automatically.

About this course

Yellow Belts can lead small improvement projects. This course teaches you to use fishbone diagrams, Pareto charts, control charts, and basic statistics to drive measurable improvements — with Python for data analysis.

The project: Mini-DMAIC on a Real Dataset

Run a complete DMAIC cycle on a provided manufacturing defect dataset. Build a Pareto chart to identify the vital few defect types, construct a fishbone diagram for the top defect, and design a control chart to monitor the improved process.

  1. 1

    Define Phase — Project Charter & SIPOC

    Scope your project and map the high-level process.

    25 min· Knowledge check
    Free preview
  2. 2

    Measure Phase — Data Types & Sampling

    Collect the right data to understand process performance.

    30 min· Knowledge check· Coding exercise
  3. 3

    Analyse Phase — Fishbone, 5 Whys, Pareto

    Find root causes using the core Six Sigma analysis tools.

    30 min· Knowledge check· Coding exercise
  4. 4

    Improve Phase — Solution Selection Matrix

    Evaluate and select solutions based on impact and feasibility.

    25 min· Knowledge check
  5. 5

    Control Phase — Control Charts & SOPs

    Sustain improvements with statistical process control.

    25 min· Knowledge check· Coding exercise
  6. 6

    Capstone: Mini-DMAIC on a Dataset

    Run a complete DMAIC cycle on a manufacturing defect dataset.

    25 min· Knowledge check· Coding exercise