BusinessAdded 1 hours ago

Lean Six Sigma Green Belt: Full DMAIC Project with 10 Tools

Build a project with offline calculators for value stream mapping, root cause analysis, hypothesis testing and SPC

4.7 / 5.0
100 ratings
8h 42m 7s
On-demand
English
Audio
PapaHR ★ 175K students: Human Resources, HR Management, SHRM, AI Analytics, Recruitment, Payroll, Certification, CIPD, Claude
Instructor
Lean Six Sigma Green Belt: Full DMAIC Project with 10 Tools100% OFF
  • 8h 42m 7s on-demand video
  • Certificate of Completion
  • Mobile, TV & Desktop Access
  • Full Lifetime Access

What you'll learn

Use 10 offline HTML tools and 10 lesson PDFs to document one DMAIC project from charter to process handover.
Build a project charter and cost baseline with the Charter and COPQ Builder, then map processing time, waiting and takt.
Create a measurement and sampling plan, then assess crossed Gage R&R and pairwise attribute agreement.
Write a capability baseline using observed failures, Cp/Cpk and Pp/Ppk, with assumptions and forecast limits stated.
Prioritize errors with Pareto and stratification, then record a cause hypothesis, counterevidence and the next check.
Compare means, paired changes, proportions and category counts with hypothesis tests and one-way ANOVA.
Fit a simple regression, inspect residuals and compare main effects and interaction in a two-factor experiment.
Draft a process FMEA and pilot plan, separating observed changes, projected rework benefits and rollout approval.
Select X-bar/R, I-MR, p, np, c or u charts for the stated data structure and document how to investigate signals.
Prepare a control plan, signal response and handover record that keeps ownership, authority and unresolved checks visible.

Course Description

This course contains the use of artificial intelligence

$513 a week. That is what one small packing process in this course loses to rework, and it is the first number you will calculate yourself.

Then the course makes you prove every step that follows.

Most Green Belt training stops at the tools. You watch a definition, a formula and a screen in paid statistics software. Then you go back to work and nobody has shown you how the charter connects to the gage study, or why the capability number means little until the measurement is trusted. You are asked to lead an improvement project, and you have never seen one run from the first page to the last.

Here you walk one complete DMAIC project on one set of data. A fictional food bank has boxes that miss their weight limits and orders that go out wrong. You scope the problem, test the measurement, read the capability, chase the cause, pilot the fix and hand the process to its owner.

This data does not behave nicely, and that is the point:

  • Two gage percentages disagree. You learn why, and which one answers your question.
  • A tidy hypothesis fails. The chi-square result is not significant, and you report it honestly.
  • A process is in control and still bad. You stop reacting to single bad weeks.

After this course you can walk into a project review with a charter, a measurement assessment, a capability baseline, a tested cause, a pilot decision and a control plan, and explain every number on them.

No paid software, no trial. Every lesson comes with its own offline HTML tool that recalculates as you edit, with the Excel formula beside the calculation, so you can reproduce the work in a spreadsheet you already have.

Who teaches this

  • Mike is the #1 HR instructor on Udemy, with 1,800,000+ course enrollments and 170,000 students
  • Author of about 200 books on Amazon
  • Built the HR system of the unicorn Preply and now runs strategy for his own education company

Mike is an educator, not a Six Sigma belt holder. The method here comes from published sources, led by the NIST/SEMATECH e-Handbook of Statistical Methods, and every constant is traced to its source.

The path

First you define the project: charter, cost of poor quality, customer needs and the value stream. Then you measure: a sampling plan, a Gage R&R study and a capability baseline. Next you analyze: Pareto charts, stratification, hypothesis tests, regression and a two-factor experiment. You improve with mistake-proofing, FMEA and a pilot. Finally you control: charts, signal rules, a control plan and a handover.

What's included

  • 10 offline HTML tools, one per lesson
  • 10 lesson decks as PDF
  • A practical assignment in every lesson
  • Lifetime access to all materials
  • Active instructor support in Q&A
  • Udemy Certificate of Completion
  • A section with additional courses, tools and resources

About certification

This independent course prepares you against selected topics in the published ASQ Certified Six Sigma Green Belt Body of Knowledge (2022) and IASSC Green Belt Body of Knowledge, within the scope stated in the course coverage map. It does not cover every topic or guarantee an exam pass. Completing this course does not award Green Belt certification. Neither the course nor its provider is accredited by ASQ, IASSC, or PeopleCert.

In practice, this means one DMAIC project at Green Belt level, not complete exam preparation. Topics such as nonparametric tests, Design for Six Sigma, QFD, advanced regression, X-bar S, CuSum and EWMA charts are not taught here. Compare the published body of knowledge with these lessons before you sit any exam.

Every month without a working project is another month of the same rework and the same guesses. The price of this course can change, and your colleagues are already learning to bring numbers to the table.

Enroll now and start your first lesson today.

Who this course is for:

  • Operations and service-team specialists asked to define a process problem and support an improvement project.
  • Quality and process improvement specialists who need a charter, measurement plan and defensible capability baseline.
  • Team leads who want to use a Pareto analyzer, test calculator and pilot scorecard before recommending a change.
  • Process owners who need control charts, a response plan and a clear handover record.
  • Nonprofit and public-service professionals who prefer a fictional service scenario and offline practice files.

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