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 self-study course blends mini-lectures, case studies, demos, practices, and quizzes to provide an applied and interactive learning experience. Access to JMP software is provided online for the course, along with the JMP Start Statistics eBook and other resources. 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.

Formats available Duration
: 25 hours/180 day license

Knowledge of JMP software is helpful, but not required.

This course addresses JMP software.

Statistical Thinking and Problem Solving

Exploratory Data Analysis

Quality Methods

Decision Making with Data

Correlation and Regression

Design of Experiments

Predictive Modeling and Text Mining

EJMPST