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The DMAIC Framework: Analyze, Improve, and Control Phase 

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The DMAIC Framework: Analyze, Improve, and Control Phase
 at 
Coursera 
Overview

Identify the factors contributing to the problem and determine the root causes that need to be addressed for sustainable improvement

Duration

8 hours

Start from

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

The DMAIC Framework: Analyze, Improve, and Control Phase
 at 
Coursera 
Highlights

  • Earn a certificate from Coursera
  • Add to your LinkedIn profile
  • 11 assignments
Details Icon

The DMAIC Framework: Analyze, Improve, and Control Phase
 at 
Coursera 
Course details

What are the course deliverables?
  • Describe the importance of analyzing data and identifying root causes of problems in the process
  • Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process
  • Develop control plans and strategies for sustaining process improvements
  • Use control charts and statistical process control techniques to monitor process performance
More about this course
  • The course will teach you the competencies and essential skills required to pass the American Society for Quality (ASQ) Certified Six Sigma Green Belt (CSSGB) exam
  • This course focuses specifically on the last three phases of the define, measure, analyze, improve, and control (DMAIC) framework and will enable you to analyze the root causes of existing issues, implement solutions, and ensure the process's sustainability
  • You will gain insight into data analysis techniques such as hypothesis testing and regression analysis and be able to develop control plans for process improvement

The DMAIC Framework: Analyze, Improve, and Control Phase
 at 
Coursera 
Curriculum

Analyze: Exploratory data analysis (EDA)

Course introduction

Multi-variate studies

Sources of variation

Correlation and linear regression

Scatter plot

Regression analysis

Course Overview

The concept of P-value

Practice Quiz: Introduction to multi-variate studies

Practice Quiz: Fundamentals of correlation and linear regression

Graded Quiz: Analyze: Exploratory data analysis (EDA)

Discussion prompt: Meet and greet

Analyze: Hypothesis testing

Hypothesis testing

One-sample t-test and one-sample z-test

2-sample t and paired t

One-way analysis of variance (ANOVA)

Chi-square test

Fishbone diagram

Practice Quiz: Introduction to Hypothesis testing

Practice Quiz: Analysis of variance (ANOVA) and chi-square test

Graded Quiz: Analyze: Hypothesis testing

Hypothesis testing

Improve: Design of experiments (DOE) and control charts

DOE terminology

Main effects analysis

Interaction plot

Uses of control charts

Control chart for variable data: X-bar

Control chart for variable data: X-bar and S charts

Control chart for variable data: R-charts

Control chart for variable data: Individual and moving range charts

Kaizen and kaizen blitz

Single-Minute Exchange of Die (SMED): Improving lean operations

Practice Quiz: DOE graphs and plots

Practice Quiz: Introduction to control charts

Graded Quiz: Improve: Design of experiments (DOE) and control charts

Selecting the right control chart

Control: Sustain improvements and control the process

Control plan

Document control

Training plan

The plan-do-check-act (PDCA) framework

Rational subgrouping: Reducing variation

Practice Quiz: Control plan and document control

Graded Quiz: Control: Sustain improvements and control the process

The plan-do-check-act (PDCA) framework

Peer Review Assignment

Course wrap-up video

Congratulations and Next Steps

Thanks from the Course Team

The Analyze, Improve, and Control Phase

The DMAIC Framework: Analyze, Improve, and Control Phase
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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