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Six Sigma Advanced Analyze Phase
Coursera
Course
Unknown

Six Sigma Advanced Analyze Phase

Kennesaw State University

An advanced course deepening understanding of principles and tools in the Analyze phase of Six Sigma DMAIC, applying essential quality metrics and tools.

Unknown3 weeksEnglish36,059 enrolled

About 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 "Analyze" phase of the DMAIC structure of Six Sigma. It is highly recommended that you complete the "Yellow Belt Specialization" and the courses "Six Sigma and the Organization (Advanced)" and "Six Sigma Advanced Define and Measure Phase" 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 hypothesis testing and design of experiments as they are 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)

What You'll Learn

  • Deepen understanding of Analyze phase principles in DMAIC
  • Apply tools and metrics related to the Analyze phase
  • Use hypothesis testing and statistical packages
  • Analyze operational data to support decisions
  • Address practical issues through case studies and exercises

Prerequisites

  • Basic familiarity with topic and terminology
  • Readiness to practice through applied exercises or case studies

Instructors

C

Christina Scherrer, PhD

Professor of Industrial Engineering

G

Gregory Wiles, PhD

Interim Chair and Assistant Professor

B

Bill Bailey, PhD

Assistant Professor of Industrial Engineering

D

David Cook, PhD

Assistant Professor of Mechanical Engineering Technology

Topics

Leadership and Management
Business
Six Sigma Methodology
Statistical Hypothesis Testing
Data Analysis
Quality Improvement
Lean Six Sigma
Variance Analysis
Process Improvement
Statistical Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

القيادة والإدارة
الأعمال
منهجية ستة سيغما
اختبار الفرضيات الإحصائية
تحليل البيانات
تحسين الجودة
لين ستة سيغما
تحليل التباين
Process Improvement
Statistical Analysis

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