Course profile · Process Improvement

Introduction to Lean Six Sigma

A practical foundation course covering DMAIC, process mapping, waste elimination, and data analysis with Excel, for beginners with no prior experience.

Free1h 52m23 lessonsBeginner
Introduction to Lean Six Sigma course preview cover

Outcome-focused

What You Will Learn in This Introduction to Lean Six Sigma Course

01

Apply the DMAIC framework to identify, analyze, and resolve process problems step by step

02

Use SIPOC diagrams and Excel flowcharts to document and map any process

03

Identify the 8 types of waste and separate value-added from non-value-added activities

04

Interpret process data using Excel's descriptive statistics toolbox, no prior statistics knowledge needed

05

Understand quality management systems and how they keep processes consistent

06

Build cause-and-effect diagrams and use prioritization tools to focus improvement efforts

07

Use FMEA to identify and reduce process risk before problems occur

08

Complete a full Lean Six Sigma project using ready-made, pre-filled templates

About this course

What This Free Introduction to Lean Six Sigma Course Covers

This course covers the foundations of Lean Six Sigma, what quality means, how quality management systems work, and how the DMAIC cycle applies to real process problems. All data analysis is done in Microsoft Excel, so there is no specialized software to install or learn.

Four ready-to-use templates are included with the course: a Project Charter, a SIPOC diagram, a Process Flow Diagram, and an FMEA. Each comes pre-filled with examples so you can see the format in action before adapting it to your own work.

The course ends with the Cool Oil Project, a complete walkthrough of one improvement project from problem definition through the Control phase. Following a real project from start to finish is the clearest way to see how the tools connect.

The course runs under two hours and covers enough ground for you to run a basic improvement project on your own. It is free and self-paced. If you want to go further afterwards, the related courses below carry on from where this one stops.

Is this for you?

Who this course is for

  • Professionals who want to understand and apply process improvement without a long certification program
  • Analysts and coordinators who already use Excel and want to apply it to quality and process problems
  • Team leads and supervisors responsible for improving how work flows through their team
  • Students building foundational knowledge of quality management and continuous improvement

Before you start

Requirements

  • No prior experience needed
  • A computer with Microsoft Excel (version 2013 or later)
  • No statistics background required, all calculations use Excel's built-in tools

Inside the course · 23 lessons

Course outline

01

Course Outline

What the course covers and how the sections build on each other

02

What Is Quality and Quality Cost

How defects and failures translate into measurable business cost, and why quality pays for itself

03

Quality Management Systems

How a quality management system keeps a process consistent over time

04

What Is Six Sigma

Where Six Sigma came from and what problem it was built to solve

05

The DMAIC Framework

The five-phase improvement cycle (Define, Measure, Analyze, Improve, Control) and when to use each phase

06

Introduction to SIPOC

Framing a process end to end: suppliers, inputs, process, outputs, customers

07

Excel: Flow Chart

Building a process flowchart in Excel without specialist software

08

Project Initiation

Getting an improvement project properly started rather than drifting into it

09

Project Planning

Turning a problem into a plan with scope, milestones and a team

10

Project Charter Example

A completed charter, read through field by field

11

Process Evaluation

Measuring how a process actually performs before changing anything

12

Types of Waste

The 8 wastes that slow down office and service work, and how to spot them

13

Introduction to Statistics

The small amount of statistics an improvement project actually needs

14

Intuition for Statistics

Reading what the numbers mean rather than just calculating them

15

Data Visualization

Choosing a chart that shows the problem instead of decorating the report

16

Excel: Descriptive Statistics

Running descriptive statistics in Excel's Data Analysis Toolpak with no formulas required

17

Analysis Tools

The root-cause tools that turn a symptom into a cause you can act on

18

Brainstorming

Running an idea-generation session that produces usable options

19

FMEA and 7R

Failure Mode and Effects Analysis: identifying what could go wrong and reducing the risk

20

Effort Impact Matrix

Choosing which fixes to do first when you cannot do all of them

21

The Control Phase

Locking in an improvement so the gains do not fade once attention moves on

22

The Cool Oil Project

A complete improvement project walked through from problem definition to control

23

Final Word

A short close, and what to do next

Included materials

More than the videos

  • 4 downloadable templates: Project Charter, SIPOC, Process Flow Diagram, FMEA
  • A full project walkthrough from start to finish

Professional development

PDU information

This course lists 1.50 PDU. Review PDU guidance before claiming credit.

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