Advanced Lean Six Sigma

Advanced Lean Six Sigma, available at $54.99, has an average rating of 4.5, with 47 lectures, based on 90 reviews, and has 2298 subscribers.

You will learn about Advanced Tools of Lean Six Sigma Control Charts Continuous Data Analysis Descrete Data Analysis Hypothesis testing Linear Regression This course is ideal for individuals who are People who would like to learn about advanced lean six sigma tools and advance analysis It is particularly useful for People who would like to learn about advanced lean six sigma tools and advance analysis.

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Summary

Title: Advanced Lean Six Sigma

Price: $54.99

Average Rating: 4.5

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Advanced Tools of Lean Six Sigma
Control Charts
Continuous Data Analysis
Descrete Data Analysis
Hypothesis testing
Linear Regression

Who Should Attend

People who would like to learn about advanced lean six sigma tools and advance analysis

Target Audiences

People who would like to learn about advanced lean six sigma tools and advance analysis

In this course we will:

Review six sigma tools such as PDCA, DMAIC, and SIPOC

Review statistics, sampling, and how to use excel to do statistical analysis

We will learn about:

Measurement system analysis and attribute agreement analysis
The baseline of process performance for discrete data including Yield, DPU, DPMO
Statistical process control and control charts, ImR, XbarR, and XbarS charts.
Statistical process control charts analysis and how to identify if a process has an issue.
The baseline for continuous data and continuous data analyses, sampling distribution, standard error and coefficient of variation, and Z-score, and T-scores
Hypothesis testing, confidence interval and central limit theorem, one-sample z-test, t-test, and ANOVA
Linear regression, covariance, and correlation, use excel for linear regression analysis
At the end of this course, we will complete the Lean Six Sigma project together

This course requires you to be familiar with key concepts of quality and lean six sigma as well as some basic knowledge of statistics.

This course includes multiple examples. Every time a new concept is introduced, I provide real-life examples and how to apply the new concept.

I will walk you through difficult statistics concepts and will teach you how to use statistical tools and interpret the results of the analysis.

We will use excel, do to all the heavy lifting for us, and our job will be to learn how to apply the tools and understand the results.

I am including all templates and supporting materials and a lot of useful tables that are needed for the analysis, Templates, and tables will be very helpful for you to get started with your lean six sigma project.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course outline

Chapter 2: Introduction

Lecture 1: Sig Sigma tools review

Lecture 2: Intorduction to statistics

Lecture 3: 2.3 Introduction to sampling

Lecture 4: 2.4 Excel Statistics Introduction

Chapter 3: 3 Measurement System Analysis

Lecture 1: 3.1 Measurement System Analysis Introduction

Lecture 2: 3.2 Components of Measuring system

Lecture 3: 3.3 MSA Example

Lecture 4: 3.4 MSA Attribute agreement

Chapter 4: 4 Baseline and Process Performance

Lecture 1: 4.1 Baseline

Lecture 2: 4.2 Yield

Lecture 3: 4.3 DPU AND DPMO

Chapter 5: 5 Statistical Process Control

Lecture 1: 5.1 Statistical Process Control

Lecture 2: 5.2 Individual and Moving Range Control Charts

Lecture 3: 5.3 XbarR Charts

Lecture 4: 5.4 XbarS Charts

Lecture 5: 5.5 Chart Analysis

Chapter 6: 6 Baseline – Continuous Data

Lecture 1: 6.1 Continuous data analysis

Lecture 2: 6.2 Normal distribution and Z score

Lecture 3: 6.3 Z Score

Chapter 7: 7 Hypothesis testing

Lecture 1: 7.1 Confidence interval

Lecture 2: 7.2 Central Limit Theorem

Lecture 3: 7.3 Hypothesis Testing

Lecture 4: 7.4 Hypothesis Testing in Excel

Lecture 5: 7.5 Thought experiment

Lecture 6: 7.6 ANOVA

Chapter 8: 8 Linear Regression

Lecture 1: 8.1 Covariance & Correlation coefficient

Lecture 2: 8.2 Regression

Lecture 3: 8.3 Regression in Excel

Chapter 9: 9 Project

Lecture 1: 9.1 Review of the key concepts

Lecture 2: 9.2 Project review

Lecture 3: What are Good Certifications for Project Managers?

Chapter 10: KPI Explained

Lecture 1: Production Activity

Lecture 2: Cycle Time

Lecture 3: First Pass Yield

Lecture 4: Takt Time

Lecture 5: Inventory Turnover

Lecture 6: Return on Assets

Chapter 11: Final Word

Lecture 1: Free Materials

Lecture 2: Final Word

Lecture 3: Definitions – Project Management

Lecture 4: Addtional Materials

Lecture 5: Introduction to Project Management

Lecture 6: Project Management Bootcamp Course

Lecture 7: Why Study Project Management

Lecture 8: Agile Project Management

Lecture 9: Advanced Project Management – Measuring Project Performance

Instructors

Learn New Skills
Skills for life and work

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 13 votes
4 stars: 28 votes
5 stars: 49 votes

Frequently Asked Questions

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