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⇱ Six Sigma Advanced Define and Measure Phases | Coursera


Six Sigma Advanced Define and Measure Phases

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Six Sigma Advanced Define and Measure Phases

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Gain insight into a topic and learn the fundamentals.
4.7

1,341 reviews

Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.7

1,341 reviews

Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
Most learners liked this course

Build your subject-matter expertise

This course is part of the Six Sigma Green Belt Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 7 modules in this course

This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the "Define" and "Measure" phases of the DMAIC structure of Six Sigma.

It is highly recommended that you complete the "Yellow Belt Specialization" and the course "Six Sigma and the Organization (Advanced)" before beginning this course. In this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of team dynamics and performance, process analysis, probability, statistics, statistical distributions, collecting and summarizing data, measurement systems analysis, process and performance capability, and exploratory data analysis associated with Six Sigma and Lean. Every module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).

This module is a Yellow Belt Refresher Area, since some learners may have entered this course without having taken the previous yellow belt material. This refresher area does not serve as a "replacement" for taking the yellow belt specialization. It is only a "patch" for those who already have some knowledge of six sigma, but find the yellow belt specialization to be too introductory for their current situation. If you find yourself struggling with the green belt material in this course, it is highly recommended that you travel through the yellow belt specialization before attempting the green belt content. In this module you will learn about team development, different types of teams, tools for decision making, and tools for communication.

What's included

7 videos

7 videosβ€’Total 32 minutes
  • Explaining Yellow Belt Refresher Areasβ€’1 minute
  • The Importance of Teams in Quality Improvementβ€’4 minutes
  • Types of Teamsβ€’4 minutes
  • Stages of Team Developmentβ€’6 minutes
  • Brainstormingβ€’5 minutes
  • Team Decision Toolsβ€’6 minutes
  • Agendas, Minutes, and Status Reportsβ€’6 minutes

In this module you will learn the application of process maps and flow charts swim lane. You will also about the application of: written procedures and works instructions, CEDAC, the Pareto diagram, and the relationship matrix.

What's included

7 videos1 reading2 assignments

7 videosβ€’Total 41 minutes
  • Introductionβ€’2 minutes
  • Process Mapping and Flow Chartsβ€’7 minutes
  • Written Proceduresβ€’4 minutes
  • Work Instructionsβ€’5 minutes
  • CEDACβ€’9 minutes
  • Pareto Diagramsβ€’5 minutes
  • Relationship Matrixβ€’9 minutes
1 readingβ€’Total 10 minutes
  • CEDAC - Recommended Readingβ€’10 minutes
2 assignmentsβ€’Total 60 minutes
  • Process Analysis and Documentation Graded Quizβ€’30 minutes
  • Process Analysis and Documentation Practice Quizβ€’30 minutes

In this module, you will learn how mutually-exclusive events and independent events relate to probability. You will also learn how to solve basic probability problems, including those that require the addition, multiplicative, and conditional rules of probability.

What's included

5 videos2 assignments

5 videosβ€’Total 16 minutes
  • Basic Probability Conceptsβ€’4 minutes
  • Mutually Exclusive & Independent Eventsβ€’4 minutes
  • Addition Rules for Probabilityβ€’3 minutes
  • Conditional Probabilityβ€’2 minutes
  • Multiplicative Rulesβ€’3 minutes
2 assignmentsβ€’Total 60 minutes
  • Probability and Statistics - pt1 Graded Quizβ€’30 minutes
  • Probability and Statistics - pt1 Practice Quizβ€’30 minutes

In this module, you will learn how to solve probability problems related to combinations and permutations. You will also learn about central limit theorem and how to apply it to the concept of confidence intervals. This module also touches on descriptive and inferential statistics.

What's included

4 videos2 assignments

4 videosβ€’Total 16 minutes
  • Combinations and Permutationsβ€’5 minutes
  • The Central Limit Theorem (CLT)β€’5 minutes
  • The Central Limit Theorem (CLT) Applicationsβ€’3 minutes
  • Descriptive vs. Inferential Statisticsβ€’2 minutes
2 assignmentsβ€’Total 60 minutes
  • Probability and Statistics - pt2 Graded Quiz β€’30 minutes
  • Probability and Statistics - pt2 Practice Quiz β€’30 minutes

In this module, you will learn about the basic characteristics of probability distributions. You will also learn about binomial, normal, Poisson, t-, chi-square, and F-distributions.

What's included

7 videos2 assignments

7 videosβ€’Total 23 minutes
  • Characteristics of Probability Distribution - (Yellow Belt Refresher Video)β€’2 minutes
  • The Binomial Distribution - (Yellow Belt Refresher Video)β€’3 minutes
  • Binomial Calculations - (Yellow Belt Refresher Video)β€’4 minutes
  • Poisson Distributionβ€’5 minutes
  • Calculating Probabilities Using the Normal Distribution - (Yellow Belt Refresher Video)β€’5 minutes
  • Chi Squareβ€’2 minutes
  • T-distribution & F-distributionβ€’2 minutes
2 assignmentsβ€’Total 60 minutes
  • Statistical Distributions Graded Quizβ€’30 minutes
  • Statistical Distributions Practice Quizβ€’30 minutes

In this module, you will learn the different types and sources of data. You will also learn: how to classify groups of data for descriptive statistics analysis, different ways to graphically display data, how to express the importance of measurement systems analysis, and the difference between precision and accuracy. This module also begins with a Yellow Belt Refresher Area, since some learners may have entered this course without having taken the previous yellow belt material. This refresher area does not serve as a "replacement" for taking the yellow belt material. It is only a "patch" for those who already have some knowledge of six sigma, but find the yellow belt specialization to be too introductory for their current situation. If you find yourself struggling with the green belt material in this course, it is highly recommended that you travel through the yellow belt specialization before attempting the green belt content.

What's included

8 videos4 assignments

8 videosβ€’Total 36 minutes
  • Explaining the Yellow Belt Refresher Areasβ€’1 minute
  • Basic Statistics - pt 1β€’5 minutes
  • Basic Statistics - pt 2β€’4 minutes
  • Collecting and Summarizing Data - pt 1β€’7 minutes
  • Collecting and Summarizing Data - pt 2β€’4 minutes
  • Collecting and Summarizing Data - pt 3β€’6 minutes
  • Measuring System Analysis - pt 1β€’4 minutes
  • Measuring System Analysis - pt 2β€’6 minutes
4 assignmentsβ€’Total 120 minutes
  • Collecting and Summarizing Data Graded Quizβ€’30 minutes
  • Measuring System Analysis Graded Quizβ€’30 minutes
  • Collecting and Summarizing Data Practiceβ€’30 minutes
  • Measuring System Analysis Practice Quizβ€’30 minutes

In this module, you will learn how to use statistical tools and analyze data, including skills like: how to distinguish between natural process limits and specification limits, how to calculate the value of Cp and Ck, how to deal with process capability studies. This module also addresses multi-vari studies, the the correlation coefficient, and linear regression.

What's included

8 videos4 assignments

8 videosβ€’Total 39 minutes
  • Process and Performanceβ€’3 minutes
  • Designing Process Performanceβ€’4 minutes
  • Analyzing Process Capabilityβ€’6 minutes
  • Control Chart Interpretationβ€’2 minutes
  • Multi-Variable Studyβ€’5 minutes
  • Types of Correlation (Yellow Belt Refresher Video)β€’3 minutes
  • Correlationβ€’8 minutes
  • Linear Regressionβ€’8 minutes
4 assignmentsβ€’Total 120 minutes
  • Process and Performance Capability Graded Quizβ€’30 minutes
  • Exploratory Data Analysis Graded Quizβ€’30 minutes
  • Process and Performance Capability Practiceβ€’30 minutes
  • Exploratory Data Analysis Practice Quizβ€’30 minutes

Earn a career certificate

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Instructors

Instructor ratings
4.7 (225 ratings)
Kennesaw State University
7 Coursesβ€’284,674 learners
Kennesaw State University
7 Coursesβ€’284,674 learners
Kennesaw State University
9 Coursesβ€’338,531 learners

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AA
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Reviewed on Oct 31, 2022

Great all are excellentThank youBut the courses progress and references need to be enhanced, I get lost sometimes when I try to cover the course requirements

SN
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Reviewed on Aug 24, 2019

The course is excellent and helped me to better use excel for statistics.I think including more practice examples would be better.Thank you for this course

LT
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Reviewed on Nov 15, 2020

Lots of math. It would be a great course to take if you do statistics, or want to learn about the math behind data analysis.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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