Linda Nozick is Professor and Director of Civil and Environmental Engineering at Cornell University. She is co-founder and a past director of the College Program in Systems Engineering and has been the recipient of several awards, including a CAREER award from the National Science Foundation and a Presidential Early Career Award for Scientists and Engineers from President Clinton for “the development of innovative solutions to problems associated with the transportation of hazardous waste.” Dr. Nozick has authored over 60 peer-reviewed publications, many focused on transportation, the movement of hazardous materials, and the modeling of critical infrastructure systems. She has been an associate editor for Naval Research Logistics and a member of the editorial board of Transportation Research Part A. Dr. Nozick has served on two National Academy Committees to advise the U.S. Department of Energy on renewal of their infrastructure. During the 1998-1999 academic year, she was a Visiting Associate Professor in the Operations Research Department at the Naval Postgraduate School in Monterey, California. Dr. Nozick holds a B.S. in Systems Analysis and Engineering from the George Washington University and an MSE and Ph.D. in Systems Engineering from the University of Pennsylvania.
Course Overview
Data is the foundation for informed decision making and process improvement with Six Sigma. In this course, you will be introduced to the essential statistical methodologies for Six Sigma Black Belt certification. To build a strong analytical foundation, you will explore core statistical techniques, such as sampling methods, data collection, probability, and distribution analysis. You will then assess measurement systems using tools like gauge repeatability and reproducibility along with other measurement system analysis techniques. Finally, you will apply these skills toward hypothesis testing, correlation, regression, and multivariate analysis, empowering you with skills to analyze and interpret complex datasets. By the end of this course, you will be positioned to select appropriate data collection methods, evaluate their effectiveness, and use statistical tools to address real-world challenges.
This course requires you to complete various statistical calculations using Microsoft Excel or another tool, language, or software of your choice.
Key Course Takeaways
- Master core statistical methodologies that apply to Six Sigma
- Apply techniques to analyze and interpret complex datasets
How It Works
Course Author
Who Should Enroll
- Engineers
- Project managers
- Business leaders
- Operations and production managers
- Product managers
- Business analysts
- Consultants
- Professionals working toward a Six Sigma certification
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