Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill (ISBN-978-0-07-184053-8)
- Designed For
- Professionals who want to want to contribute to high impact projects by incorporating Lean Six Sigma methodologies for collecting, analyzing, and interpreting project data
- January 8 - February 18, 2018
- Online | Instructor-led
- $487 (+ $60 registration fee)
- Six Weeks
Plan for 3-8 hours of work per week
- 2.5 Units | 25 Hours
- 25 PDUs with SHRM®
Ask us about Corporate Training.
We can customize this program to fit your organization's specific needs.
Get a sneak peek into OSU's Lean Six Sigma training essentials and how it can help your career advancement. Access it now!
It is integral for anyone seeking a Lean Six Sigma Green Belt Certificate to have a strong understanding of data. Knowing how to identify, gather and analyze data helps you make informed project decisions and further product and process excellence.
This six-week course introduces participants to project data collection and analysis, including identifying data types and scales; calculating basic descriptive statistics, probability, measurements of central tendency and dispersion; and interpreting results through key statistical metrics and data visualization.
Through course lessons, instructor insight and peer discussions, you will also learn how to construct and interpret process control charts and perform attribute and variable measurement systems analysis for reproducibility and repeatability studies.
Knowledge of mathematics at the advanced algebra/pre-calculus level is required, but no prior knowledge of statistics is assumed.
This course is a part of the Lean Six Sigma Certificate, which includes:
What You'll Learn
- Identify the various types of data and data scales
- Maintain project data accuracy and integrity
- Calculate and interpret descriptive statistics
- Know and interpret a variety of data graphical tools
- Apply and interpret statistical process control tools for attribute and variable data
- Perform an attribute and variable measurement system analysis
- Calculate and interpret basic probability metrics
- Calculate and interpret key metrics from various data distributions
Tony Roberts, M.S.
Tony Roberts, M.S., has more than 25 years of management experience in the healthcare and consumer electronic markets. His areas of expertise include new technology development, Lean Six Sigma implementation, international project management, risk management, quality management and high volume manufacturing. In addition to teaching at PACE, Tony teaches certification courses for the University of California - Irvine and the American Society for Quality (ASQ). He has worked with world-class clients such as Boeing, Northrop Grumman, Sprint, Southern California Edison, Ricoh, and Parker Hannifin. His professional certifications include, Lean Six Sigma Master Black Belt, Project Management Professional (PMP), Certified Quality Manager (CQM), and Certified Quality Engineer (CQE).