JMP

Title Level Training Formats
JMP Software: Stability Analysis
This course presents an approach for integrating the techniques outlined in FDA regulations and ICH guidelines into your stability program. Specifically, the course focuses on the evaluation and statistical analysis of stability data. In addition to the analytical techniques, the course focuses on the motivation behind this approach. A case study is used to demonstrate these principles and the advantages of software tools.

0 No level e-Learning
Lean Six Sigma Green Belt Project Leader

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 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 either 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.

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: Design and Analysis of Mixture Experiments
This course is for JMP users who deal with mixture or formulation experiments. The course demonstrates how to utilize various approaches to create an appropriate experimental design for commonly encountered mixture situations. The analysis of mixture experiments is also covered including finding the optimum formulation.

3 Intermediate Classroom
JMP Software: Analyzing 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. Relationships between the observations, as well as relationships between the variables will be uncovered by using multivariate techniques.

3 Intermediate Classroom
JMP Software: Modeling Multidimensional Data
This course is for JMP users who need to build descriptive and predictive models between sets of multidimensional data. The course demonstrates various ways of performing supervised learning where the relationships among both the output variables and the input variables are considered in building these models. Strong emphasis is on understanding the results of the analysis and presenting your conclusions with graphs.

3 Intermediate Classroom
JMP Software: Analyzing and Modeling Multidimensional Data
This course is for JMP users who work with data that have 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. In the course, emphasis is on understanding the results of the analysis and presenting conclusions with graphs.

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 or query for 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 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: 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
JMP Software: Measurement System Analysis
This course teaches you how to determine the measurement error associated with your process, including both measurement system variability and bias.

3 Intermediate Classroom Live Web Classroom
JMP Software: Reliability Analysis Version 9
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 Classroom Live Web Classroom
JMP Software: Statistical Process Control
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: 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 Live Web Classroom
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
JMP Software: Classic Design of Experiments
This course teaches you how to design and analyze experiments in JMP 10 to find the vital few factors or optimize the process response. The course emphasizes the principles of experimental design while also demonstrating screening designs and response designs.

4 Expert Classroom Live Web Classroom e-Learning