Basic Statistics for Manufacturing

Basic Statistics for Manufacturing
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Basic Statistics for Manufacturing Microcredential badge

Basic Statistics for Manufacturing involves the application of statistical methods and tools used to analyze data, identify the presence of variation in a manufacturing process, and determine methods for improvement.  Completion of this credential will demonstrate the ability to explain basic statistics principles, apply statistical analysis methods to manufacturing problems, and interpret results to make data-driven decisions. Knowledge-level assessment is completed with auto-graded exams that ask objective questions about basic statistics topics.

As a participant, you will:

  • Explain basic statistics & probability principles
  • Apply statistical methods to manufacturing problems
  • Analyze and interpret results to make data-driven decisions.
     

Course Details

At Clarkson, our microcredentials are designed by industry experts, built by educators.

You earn a digital badge to signal specific achievement to your professional network. These are concise, specialized skills and knowledge, providing a flexible and efficient way for learners to acquire industry-relevant competencies. The digital badge is verified through Open Badge Factory and can be added to your LinkedIn, resume, online portfolio or more.
 

The Design for Manufacturing and Assembly Micro-Credential is composed of the following 9 learning modules:

Introduction: Future of Manufacturing
Module 1 - Case Study: Manufacturing Brackets
Module 2 - Central Tendency & Dispersion Statistics
Module 3 - Industry Metric: Overall Equipment Effectiveness
Module 4 - Manufacturing Measurement Statistics
Module 5 - Tutorial: GD&T Measurement Statistics
Module 6 - Hypothesis & Significance Testing
Module 7 - Industry Method: Six Sigma & DMAIC
Module 8 - Linear Regression Statistics

Within each module is an interactive lesson and instructional resources which will prepare you to pass the short quizzes.
 

This micro-credential is assessed by nine auto-graded quizzes with matching, multiple-choice numerical and true/false question types. Earners must receive at least a 80% score on all quizzes, and can do so using unlimited attempts.

Earners will have received at least 80% or higher on nine quizzes, which tests on the statistical methods and tools used to analyze data, presence of variation in a manufacturing process, and determining methods for improvement.

Enroll NowAvailable to current students, faculty & staff.

  Skills

  • Manufacturing statistics
  • Manufacturing
  • Statistics
  • Probability principles
  • Data-driven decision making

  Delivery

Asynchronous online

  Schedule

Ongoing with continuous enrollment

  Prerequisites

None

  Completion

10 hours

Sample Lesson

Meet Your Instructor

Dr. Carl D. Hoover is Associate Professor and Director of Laboratories in the Department of Mechanical and Aeronautical Engineering at Clarkson University.  Dr. Hoover teaches test engineering, experimental methods, measurement and instrumentation courses at Clarkson laboratories and researches machine learning.  Dr. Hoover oversees MAE laboratories at Clarkson, including our research wind tunnels and mechanical testing facilities.  Carl brings over 15 years of industry experience to the classroom with experience ranging from aerospace manufacturing testing to executive leadership.  Prior to returning to academia, Carl served as Chief Technology Officer of the data science firm Elder Research, where he managed R&D, led a team of data scientists, served on defense and intelligence projects, and taught data science through Mizzou's Data Science & Analytics graduate program. Carl continues to consult as a Senior Advisor at Elder. Dr. Hoover aims to modernize Clarkson's engineering laboratory experience with application-focused experiments.  Carl earned mechanical engineering doctorate and masters degrees from Clarkson University and a bachelor's degree from the University of Virginia.

Meet Your Instructor

Steven has been an adjunct instructor in the Clarkson University School of Business since 2003, teaching both undergraduate and graduate courses in Quality Management & Lean Enterprise and Operations & Supply Chain Management. He is also a Clarkson alumnus, earning a B.S. in Interdisciplinary Engineering & Management in 1990 and an M.S. in Engineering and Manufacturing Management in 2000.

Steven has worked in manufacturing since 1990, gaining practical knowledge and first-hand experience with the topics in this workshop. He is currently a Continuous Improvement Senior Specialist at the Y-12 National Security Complex in Oak Ridge, TN, and has also held quality, lean manufacturing, and engineering leadership positions in the medical device, telecommunications, aluminum, and aerospace industries. Between 2004 and 2008, he served as director of graduate and undergraduate programs at Clarkson and was influential in integrating classroom and distance learning based education for working professionals.

He is a Senior Member and Certified Quality Engineer with the American Society for Quality and currently pursuing further certification as a Six Sigma Black Belt. Steven co-authored The Executive Guide to Understanding and Implementing Lean Six Sigma (ASQ Quality Press, 2007) and his areas of specialization include quality system management, internal auditing, lean operations, and statistical process control.

His goal for this microcredential is to provide you with a valuable and interactive learning experience.
 

Get Ready to Learn

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