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Six Sigma Tools for Improve and Control
Coursera
Course
Unknown

Six Sigma Tools for Improve and Control

Kennesaw State University

This course provides tools to complete the analyze, improve, and control phases in Six Sigma DMAIC, covering statistical techniques and data analysis.

Unknown5 weeksEnglish57,806 enrolled

About this Course

This course will provide you will the tools necessary to complete the final components of the analyze phase as well as the improve and control phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course is the final course in the Six Sigma Yellow Belt Specialization. You will learn about relationships from data using correlation and regression as well as the different hypothesis terms in hypothesis testing. This course will provide you with tools and techniques for improvement. You will also understand the importance of a control plan, as well as its key characteristics, for maintaining process improvements. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied. Our applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma 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)

What You'll Learn

  • Use analysis tools to complete analyze, improve, and control phases
  • Understand data relationships through correlation and regression
  • Apply different hypothesis testing concepts
  • Develop control plans to maintain process improvements
  • Use statistical techniques to enhance business processes

Prerequisites

  • No deep prior experience required
  • Basic computer and internet skills helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

D

David Cook, PhD

Assistant Professor of Mechanical Engineering Technology

B

Bill Bailey, PhD

Assistant Professor of Industrial Engineering

G

Gregory Wiles, PhD

Interim Chair and Assistant Professor

C

Christina Scherrer, PhD

Professor of Industrial Engineering

Topics

Business Essentials
Business
Process Optimization
Regression Analysis
Kaizen Methodology
Quality Management
Statistical Inference
Project Management
Process Improvement
Six Sigma Methodology

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

أساسيات الأعمال
الأعمال
تحسين العمليات
تحليل الانحدار
منهجية كايزن
إدارة الجودة
الاستدلال الإحصائي
إدارة المشاريع
Process Improvement
Six Sigma Methodology

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