Six Sigma Advanced Define and Measure PhasesProfessional faq

learnersLearners:
instructor Instructor: Christina Scherrer et al. instructor-icon
duration Duration: 15.00 instructor-icon

This advanced Six Sigma course provides an in-depth exploration of the "Define" and "Measure" phases of the DMAIC structure. Participants will gain a comprehensive understanding of the principles and tools associated with Six Sigma and Lean, and how to apply them to improve business processes and performance. This course is ideal for those looking to strengthen and expand their knowledge of the green belt level of Six Sigma.

Course Feature Course Overview Pros & Cons Course Provider
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

10th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course is designed to provide students with an advanced understanding of the Define and Measure phases of the DMAIC structure of Six Sigma. Students will learn about 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. Through readings, videos, and quizzes, students will gain a comprehensive understanding of the tools and metrics that are critical components of Six Sigma. Upon completion of the course, students will have the knowledge and skills necessary to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).

[Applications]
Upon completion of this course, participants should be able to apply the principles and tools associated with the "Define" and "Measure" phases of the DMAIC structure of Six Sigma. They should also be able to demonstrate an understanding 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. Participants should be able to use the knowledge gained in this course to improve business processes and performance.

[Career Paths]
1. Six Sigma Black Belt: Six Sigma Black Belts are highly trained professionals who are responsible for leading and managing Six Sigma projects. They are expected to have a deep understanding of the DMAIC process and the tools and techniques associated with it. They are also expected to have a strong understanding of the principles of Lean and be able to apply them to their projects. As the demand for Six Sigma professionals continues to grow, the need for Black Belts is expected to increase.

2. Quality Assurance Manager: Quality Assurance Managers are responsible for ensuring that products and services meet the standards set by the company. They are expected to have a strong understanding of Six Sigma and Lean principles and be able to apply them to their work. Quality Assurance Managers are also expected to have a good understanding of the tools and techniques associated with Six Sigma and Lean and be able to use them to improve processes and performance.

3. Process Improvement Consultant: Process Improvement Consultants are responsible for helping organizations identify and implement process improvements. They are expected to have a strong understanding of Six Sigma and Lean principles and be able to apply them to their work. Process Improvement Consultants are also expected to have a good understanding of the tools and techniques associated with Six Sigma and Lean and be able to use them to improve processes and performance.

4. Data Analyst: Data Analysts are responsible for analyzing data to identify trends and patterns. They are expected to have a strong understanding of Six Sigma and Lean principles and be able to apply them to their work. Data Analysts are also expected to have a good understanding of the tools and techniques associated with Six Sigma and Lean and be able to use them to improve processes and performance. As the demand for data-driven decision making increases, the need for Data Analysts is expected to grow.

[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Quality Assurance: This degree program provides students with the knowledge and skills to become successful quality assurance professionals. Students learn about quality assurance principles, process improvement, and statistical analysis. They also gain experience in problem-solving, data analysis, and project management. This degree is becoming increasingly popular as businesses strive to improve their processes and products.

2. Master of Science in Quality Management: This degree program provides students with the advanced knowledge and skills to become successful quality management professionals. Students learn about quality management principles, process improvement, and statistical analysis. They also gain experience in problem-solving, data analysis, and project management. This degree is becoming increasingly popular as businesses strive to improve their processes and products.

3. Master of Science in Six Sigma: This degree program provides students with the advanced knowledge and skills to become successful Six Sigma professionals. Students learn about Six Sigma principles, process improvement, and statistical analysis. They also gain experience in problem-solving, data analysis, and project management. This degree is becoming increasingly popular as businesses strive to improve their processes and products.

4. Doctor of Philosophy in Quality Management: This degree program provides students with the highest level of knowledge and skills to become successful quality management professionals. Students learn about quality management principles, process improvement, and statistical analysis. They also gain experience in problem-solving, data analysis, and project management. This degree is becoming increasingly popular as businesses strive to improve their processes and products.

Pros & Cons

Pros Cons
  • pros

    Repetitive courses and clear sequences of modules.

  • pros

    Helps use excel for statistics.

  • pros

    Materials are reasonable.

  • pros

    Friendly course.

  • pros

    Includes everything needed in measure phase.

  • pros

    Good theoretical and practical content.

  • pros

    Very helpful.

  • cons

    Lack of practice examples.

  • cons

    Dense content for exam preparation.

  • cons

    Formulas not displayed.

  • cons

    Too much focus on statistics.

Course Provider

Provider Coursera's Stats at OeClass