We’re here to help. As we face COVID-19 together, our commitment to you remains strong. If you want to advance critical, job-focused skills, you’re invited to tap into free online training options or join Live Web classes, with a live instructor and software labs to practice – just like an in-person class.


Title Level Training Formats
Applied Statistics for Engineers
This course provides an introduction on how to use JMP statistical software and how to apply engineering and scientific approaches to data analysis by focusing on descriptive statistics, graphical analysis, hypothesis testing, analysis of variance and model building.

1 Beginner Classroom
Statistical Thinking for Industrial Problem Solving Free e-learning
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.

1 Beginner e-Learning
JMP Software: Graphing and Reporting with JMP
This course is designed for anybody who wants to create compelling graphs, reports, and dashboards that effectively share the story in their data.

2 Fundamental Live Web Classroom
Statistics for FDA Process Validation Using JMP Software Business Knowledge Series
The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled "Process Validation: General Principles and Practices," consists of a three-stage process. The three stages are Process Design, Process Qualification, and Continued Process Verification. Although the guidance was established for the pharmaceutical industry, it also provides a useful framework for other industries. This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents. Analyses in this course use the point-and-click interface of JMP software from SAS.

2 Fundamental Classroom Live Web Classroom
JMP Learning Subscription
The JMP Learning Subscription provides unlimited access to all JMP e-Learning in a monthly or annual subscription. Learn how to:
  • Use JMP for data analysis and visualization, including bringing data in from various sources, manipulating data, and creating new variables, as well as creating and sharing JMP reports with other people.
  • Use statistical analysis to make decisions through the use of hypothesis testing, t tests, analysis of variance, regression analysis, and analysis of covariance.
  • Properly design and analyze an experiment through classical methods or by using custom design in JMP. Use the designed experiment to identify important factors, predict responses, incorporate hard-to-change factors, evaluate and compare different designs, and optimize processes.

The curriculum includes the following courses:

2 Fundamental e-Learning
Instant Applications Using JMP Application Builder
This course is for JMP users who prepare applications for analysis and reporting. This course demonstrates how to use the drag-and-drop interface of the JMP Application Builder to develop and organize simple applications interactively, without using the JMP Scripting Language. The course uses a case study to demonstrate developing a dashboard that displays key performance indicators for a fictional company. Options for deployment of the completed application are demonstrated.

This course includes practice data and exercises.

2 Fundamental Classroom e-Learning
JMP Software: A Case Study Approach to Data Exploration
This course is designed as the first step for those who want to use JMP to manage, analyze, and explore data. Two case studies will be used to present typical data analysis issues that our students see. (The ecourse will have the same general content but with a different format.)

2 Fundamental Classroom Live Web Classroom e-Learning
JMP Software: Introduction to Categorical Data Analysis Version 9
This course teaches you how to analyze categorical data using association, stratification, correspondence analysis, partitioning, logistic regression, and generalized linear models. Additional material about the Categorical platform is available in an appendix.

3 Intermediate Classroom
JMP Software: Design and Analysis of Mixture Experiments

3 Intermediate Classroom
Application Development Using the JMP Scripting Language
This course is for JMP users with scripting experience who prepare applications for data processing, analysis, or reporting. This course demonstrates how to use the JMP Application Builder and Add-In Builder to develop and deploy simple and custom applications, including applications with multiple windows. The course uses a case study to demonstrate developing a dashboard that displays key performance indicators for a fictitious company.

3 Intermediate Classroom
JMP Pro: Analyzing Curves and Profiles Using the Functional Data Explorer
This course helps you recognize and model functional data. It teaches you to use the data as a response, such as the outcome for a designed experiment, or as new covariates or features, such as in a multivariate analysis.

Functional data are defined as a function, profile, or curve. They are a series of observations over time or any other continuous variable. These data can be modeled so that changes in the shape can be associated with changes in other variables.

3 Intermediate Live Web Classroom
JMP Software: Designing and Building a Complete JMP Script
This course teaches you how to approach writing a new script in a methodical way. A realistic case study is used to illustrate the typical steps. A separate case study is developed in the course exercises. A storyboard showing the results from the script, the JMP objects that will be used by the script, and the steps necessary for the script to carry out is developed at the beginning of the course, and it is further developed throughout the course. The results are used to determine the necessary data, so the next step is identifying the analysis variables and their original data stores. Techniques to import data, cleanse and harmonize data, and derive new variables complete the first half of the course. The second half of the course teaches how to script the conversion of the variables into results. JMP objects are used to create a working framework. Each object is then customized or extended as necessary. Optional results or computations are captured in a user dialog to finish the script.

3 Intermediate Live Web Classroom
JMP Software: Reliability Analysis for Non-repairable Systems
This course is for anyone who needs to analyze data about how long an object (reliability) or person (survival) operates within acceptable parameters ("time to event"). The course is presented using manufacturing examples, but those interested in survival analysis or studying recidivism will also find the course useful.

3 Intermediate Live Web Classroom
JMP Software: Finding Important Predictors
This course teaches you techniques for fitting statistical models to identify important variables. Manual, graphical, and automated variable selection techniques are presented, along with advanced modeling methods. The demonstrations include modeling both designed and undesigned data. Techniques are illustrated using both JMP software and JMP Pro software. Note that JMP Pro software is needed for the advanced techniques covered in the second half of this course.

3 Intermediate Live Web Classroom
JMP Software: Statistical Process Control Version 9
This course teaches you how to set up and maintain a statistical process control system using JMP software.

3 Intermediate Classroom Live Web Classroom
JMP Software: The Analysis and Modeling of Multidimensional Data
This course is for JMP users who deal with data with many variables. The course demonstrates various ways to examine high dimensional data in fewer dimensions, as well as patterns that exist in the data. Methods for unsupervised learning are presented, in which relationships between the observations, as well as relationships between the variables are uncovered. The course also demonstrates various ways of performing supervised learning where the relationships among both the output variables and the input variables are considered. Strong emphasis is on understanding the results of the analysis and presenting your conclusions with graphs.

3 Intermediate Classroom Live Web Classroom
JMP Pro Software: Exploring and Analyzing Patterns in Text Data
This course teaches you how to find and analyze patterns in textual data using Text Explorer in JMP Pro. A workflow is defined for effective and efficient exploration. Multivariate methods are applied to the frequency of terms after weighting and dimension reduction to capture relationships among important terms and phrases.

3 Intermediate Classroom Live Web Classroom
JMP Software: Stability Analysis

3 Intermediate Classroom e-Learning
JMP Software: Introduction to the JMP Scripting Language
This course demonstrates how to extend JMP software's functionality using the JMP Scripting Language (JSL) to automate routine procedures, extend or create new procedures, and customize reports.

3 Intermediate Classroom Live Web Classroom e-Learning
JMP: Statistical Decisions Using ANOVA and Regression
This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable. You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.

3 Intermediate Classroom Live Web Classroom e-Learning
JMP Software: Modern Screening Designs
This advanced course presents strategies and methods for designing experiments to screen many factors in an optimal study, as well as several specialized analytical tools that respect the limited information available in such experiments. This course is designed to help scientists and engineers choose an appropriate technique for their particular situation.

4 Expert Classroom
Predictive Modeling Using JMP Pro
This course covers the skills required to develop, assess, and score predictive models using the Partition platform and the Neural platform.

4 Expert Classroom Live Web Classroom
JMP Software: Classic Design of Experiments
This course teaches you how to design and analyze experiments in JMP to find the vital few factors or optimize the process response. The course emphasizes the principles of experimental design while demonstrating classic approaches to screening designs and response surface designs.

4 Expert e-Learning
JMP Software: Custom Design of Experiments
This course offers a fresh perspective about designing experiments through state-of-the-art features in JMP. This course specifically focuses on the principles of designing an experiment and how to use all of them to achieve an optimal design.

4 Expert Classroom Live Web Classroom e-Learning