Linda Nozick is a professor in Cornell’s School of Civil and Environmental Engineering. She served as director of the school for more than a decade. Prior to that role, Nozick was the director of the college’s Systems Engineering Program, which she co-founded. Nozick 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.” She is a past U.S. Presidential appointee to the U.S Nuclear Waste Technical Review Board. Nozick has authored over 100 peer-reviewed publications, many focused on transportation, the movement of hazardous materials, and the modeling of critical infrastructure systems. Nozick holds a B.S. in systems analysis and engineering from the George Washington University and a M.S.E 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
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Not ready to enroll but want to learn more? Download the course brochure to review program details.How It Works
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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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