Courses

STATISTICAL THINKING FOR INDUSTRIAL PROBLEM SOLVING

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.


Description

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.
Name STATISTICAL THINKING FOR INDUSTRIAL PROBLEM SOLVING
Language English
Duration 25:00 hours
Sector IT-ITES
Price (INR) FREE
Availablity Available full time
Pre-Qualification Any

Course Rating

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