Lean Six Sigma (Green Belt)

Paths

Lean Six Sigma (Green Belt)

Author: Frederico Aranha

In the Lean Six Sigma Green Belt skill path, you’ll learn how to implement an improvement project by deepening your understanding of the DMAIC methodology. By the time you finish... Read more

What You Will Learn:

  • Applying the Define Phase in Lean Six Sigma
  • Applying the Measure Phase in Lean Six Sigma
  • Applying the Analyze Phase in Lean Six Sigma
  • Applying the Improve Phase in Lean Six Sigma
  • Applying the Control Phase in Lean Six Sigma
  • Creating Basic Charts in Lean Six Sigma
  • Creating Histograms
  • Using Correlation and Regression Analysis
  • Applying Data to Real World Situations
  • Applying Hypothesis Tests
  • Analyzing Sample Tests
  • Creating Advanced Control Charts
  • Applying Statistics in Lean Six Sigma

Pre-requisites

Lean Six Sigma (Yellow Belt)

Beginner

In this beginner section we will cover all stages of the DMAIC methodology based on the main tools applied on each step.

Applying the DMAIC Methodology

by Frederico Aranha

Nov 19, 2020 / 2h 35m

2h 35m

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Description

To apply the DMAIC methodology in any improvement project is key for Lean Six Sigma professionals. In this course, Applying the DMAIC Methodology, you’ll learn how to put the core Lean Six Sigma methodology into practice. First, you’ll explore the Define phase of the DMAIC approach. Next, you’ll discover phases Measure, Analyze, and Improve. Finally, you’ll learn how to control improvement projects based on the Control phase. When you’re finished with this course, you’ll have the skills and knowledge of a Green Belt certified professional needed to work in any Lean Six Sigma improvement project.

Table of contents
  1. Course Overview
  2. Managing the Define Phase in a Lean Six Sigma Project
  3. Managing the Measure Phase in a Lean Six Sigma Project
  4. Managing the Analyze Phase in a Lean Six Sigma Project
  5. Managing the Improve Phase in a Lean Six Sigma Project
  6. Managing the Control Phase in a Lean Six Sigma Project

Intermediate

In this intermediate section we will cover graphical analysis tools, x-bar control charts, statistical softwares and probability distribution - as well as correlation and linear regression analysis.

Understanding Basic Lean Six Sigma Statistics

by Frederico Aranha

Nov 19, 2020 / 1h 50m

1h 50m

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Description

Essential statistics are a must for any quality management professional. In this course, Understanding Basic Lean Six Sigma Statistics, you'll have the opportunity to learn basic general statistics. First, you’ll explore how to create basic charts. Next, you’ll discover probability distribution and how to create histograms in Excel. Finally, you’ll learn how to use correlation and linear regression in Lean Six Sigma projects. When you're finished with this course, you’ll have the skills and knowledge of basic statistics applied to quality management.

Table of contents
  1. Course Overview
  2. Creating Basic Control Charts
  3. Creating Histograms
  4. Using Correlation and Regression Analysis

Advanced

In this advanced session we will cover how to apply Lean Six Sigma into real world situations by explaining non-normal continuous and discrete distributions applied to specific scenarios. Also, students will study hypothesis testing and sample testing.

Applying Statistics in Lean Six Sigma

by Frederico Aranha

Nov 20, 2020 / 1h 47m

1h 47m

Start Course
Description

To turn data into knowledge is the real challenge for any Lean Six Sigma practitioner. In this course, Applying Statistics in Lean Six Sigma, you’ll learn how to run statistical analysis, tests, and transform them into business-friendly presentations. First, you’ll explore how to apply data to real-world situations. Next, you’ll discover how to apply hypotheses and sample tests. Finally, you’ll learn how to create advanced control charts. When you’re finished with this course, you’ll have the skills and knowledge needed to truly apply statistics into Lean Six Sigma.

Table of contents
  1. Course Overview
  2. Applying Data to Real World Situations
  3. Applying Hypothesis Tests
  4. Presenting Statistics in Lean Six Sigma
  5. Preparing for the Lean Six Sigma Green Belt Certification