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Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Six Sigma Tools for Analyze

Six Sigma Tools for Analyze

About this course: This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. The statistics module will provide you with an overview of the concepts and you will be given multiple example problems to see how to apply these concepts. 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).

Created by:  University System of Georgia

  • Christina Scherrer, PhD
    Taught by:  Christina Scherrer, PhD, Professor of Industrial Engineering
    Department of Systems and Industrial Engineering

  • David Cook, PhD
    Taught by:  David Cook, PhD, Assistant Professor of Mechanical Engineering Technology
    Department of Mechanical Engineering Technology

  • Gregory Wiles, PhD
    Taught by:  Gregory Wiles, PhD, Interim Chair and Assistant Professor
    Department of Systems and Industrial Engineering

  • Bill Bailey, PhD
    Taught by:  Bill Bailey, PhD, Assistant Professor of Industrial Engineering
    Department of Systems and Industrial Engineering
Basic Info
Course 3 of 4 in the Six Sigma Yellow Belt Specialization.
LevelBeginner
Language
English
Hardware ReqRequired Companion text: The Certified Six Sigma Yellow Belt Handbook (2nd edition)
How To PassPass all graded assignments to complete the course.
Syllabus
WEEK 1
Measurement System Analysis
Welcome to Six Sigma Tools for Analyze! This is the third course in the Six Sigma Yellow Belt Specialization. Your team of instructors, Dr. Bill Bailey, Dr. David Cook, Dr. Christine Scherrer, and Dr. Gregory Wiles, currently work in the College of Engineering and Engineering Technology at Kennesaw State University. This module will introduce you to Measurement System Analysis (MSA) which is a key component of the Measure phase of the DMAIC process. You will also learn about Gauge Repeatability & Reproducibility (GR&R) and why it is used in the measurement phase.
2 videos3 readings1 practice quiz
  1. Reading: Highly-Recommended Text
  2. Reading: Measurement System Analysis - Recommended Reading
  3. Video: Measurement System Analysis Part 1
  4. Reading: Gage Repeatability & Reproducibility - Recommended Reading
  5. Video: Measurement System Analysis Part 2
  6. Practice Quiz: Measurement System Analysis Practice
Graded: Measurement System Analysis Practice Graded Quiz
WEEK 2
Process Analysis Tools
This module will introduce you to the Analysis phase of the DMAIC process. Process analysis helps you to better understand current processes and how they can be improved. You will be introduced to many of the different process analysis tools that are commonly used by Six Sigma experts. Failure Mode and Effects Analysis (FMEA) will also be introduced to help you better understand how to identify process failures.
6 videos4 readings1 practice quiz
  1. Video: Process Analysis Tools
  2. Reading: Eliminating Waste and 5S - Recommended Reading
  3. Video: Eliminating Waste
  4. Video: 5S
  5. Practice Quiz: Process Analysis Tools Practice
  6. Reading: FMEA Pt. 1 - Recommended Reading
  7. Video: FMEA Part 1
  8. Reading: FMEA Pt. 2 - Recommended Reading
  9. Video: FMEA Part 2
  10. Reading: FMEA Gift - Recommended Reading
  11. Video: FMEA Part 3
  12. Discussion Prompt: FMEA Discussion
Graded: Process Analysis Tools
WEEK 3
Root Cause Analysis
Root cause analysis is a common problem solving step. Determining the root cause of something is an important aspect of uncovering the causes of a problem. In this module you will review the different tools used in determining root cause including 5-whys, process mapping, force-field analysis, and matrix charts.
5 videos4 readings1 practice quiz
  1. Video: Root Cause Analysis
  2. Reading: 5 Whys - Recommended Reading
  3. Video: 5 Whys
  4. Reading: Process Mapping - Recommended Reading
  5. Video: Process Mapping
  6. Reading: Force Field Analysis - Recommended Reading
  7. Video: Force Field Analysis
  8. Discussion Prompt: Force Field Analysis Discussion
  9. Practice Quiz: Root Cause Analysis Practice
  10. Reading: Matrix Charts - Recommended Reading
  11. Video: Matrix Charts
Graded: Root Cause Analysis Graded Quiz
WEEK 4
Data Analysis
In this module you will be diving into the statistical side of Six Sigma. You will begin with learning about the basic distribution types which include normal and binomial. You will then proceed to variation and will learn the difference between common and special cause variation.
7 videos4 readings1 practice quiz
  1. Reading: Characteristics of Probability Distributions - Recommended Reading
  2. Video: Characteristics of Probability Distributions
  3. Reading: The Normal Distribution Table
  4. Video: Calculating Probabilities Using the Normal Distribution
  5. Video: Calculating Probabilities in the Normal Distribution: Example Problems
  6. Reading: The Binomial Distribution - Recommended Reading
  7. Video: The Binomial Distribution
  8. Video: Binomial Distribution Calculations
  9. Video: Binomial Distribution Calculations: More Examples
  10. Reading: Common Versus Special Cause Variation - Recommended Reading
  11. Video: Common Versus Special Cause Variation
  12. Practice Quiz: Data Analysis Practice Quiz
Graded: Data Analysis Graded Quiz


How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University System of Georgia
The University System of Georgia is composed of 28 higher education institutions including 4 research universities, 2 regional universities, 12 state universities, 13 state colleges and the Skidaway Institute of Oceanography. The Georgia Public Library System, encompassing 61 library systems throughout Georgia, is also part of the University System.
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