This course is for anyone seeking to develop core competency in applied problem-solving with data and statistics. It addresses the Statistical Thinking for Industrial Problem Solving certification exam content areas and tasks. This 25- to 30-hour e-learning course blends mini-lectures, case studies, demos, practices, and quizzes to provide an applied and interactive learning experience. Topics are grouped into seven stand-alone modules, and each module takes three to five hours to complete. Access to JMP software is provided in a virtual lab, along with the JMP Start Statistics eBook and other resources.
This course can help prepare you for the following certification exam(s): JMP Certified Associate: Statistical Thinking for Industrial Problem Solving.
Learn how to
- Map a process, define and scope your project, and determine the data that you need to solve your problem.
- Describe data with graphics and use interactive visualizations to find and communicate the story in your data.
- Use tools to quantify, control, and reduce variation in your product, service, or process.
- Draw inferences from data, construct statistical intervals, perform hypothesis tests, and understand the relationship between sample size and power.
- Examine the linear association between pairs of variables.
- Fit and interpret linear and logistic regression models.
- Speak the language of design of experiments (DOE).
- Design, conduct, and analyze an experiment in JMP.
- Identify possible relationships, build predictive models, and derive value from free-form text.
Knowledge of JMP software is helpful, but not required.
This course addresses JMP software.
