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JMP

Title Level Training Formats
JMP Software: ANOVA and Regression
This course teaches how to analyze data with a single continuous response variable using analysis of variance and regression methods. 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: 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
Free Lunch and Learn: Quality by Design (QbD) Using JMP Software Business Knowledge Series
In this free lunch-and-learn webinar, a series of demonstrations will illustrate how to integrate Quality by Design principles in a pharmaceutical quality system.

2 Fundamental Live Web Classroom
Quality by Design (QbD) Using JMP Software Business Knowledge Series
This course focuses on how to establish a systematic approach to pharmaceutical development that is defined by Quality-by-Design (QbD) principles using design of experiments (DOE). In addition, this course teaches the application of statistics for setting specifications, assessing measurement systems (assays), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the product quality system framework defined by requirements in regulatory guidance documents. Analyses in this course use the point-and-click interface of JMP software.

2 Fundamental Classroom Live Web Classroom
Free Lunch and Learn: Statistics for FDA Process Validation Using JMP Software Business Knowledge Series
In this free lunch-and-learn webinar, a series of demonstrations will illustrate how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the 2011 FDA guidance on process validation. These demonstrations are based on the content covered in Statistics for FDA Process Validation Using JMP Software.

2 Fundamental Classroom 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 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
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 Live Web Classroom e-Learning
Market Data Analysis Using JMP Business Knowledge Series
Most market research studies and their subsequent reports rely on simple cross-tabulations, or "the tabs," and overworked pie and bar charts. What you need for making powerful marketing decisions is actually buried in your data, not in the tabs. This hands-on course uses a customer satisfaction case study to illustrate the analytical framework for how to use intelligent, logical, and sophisticated analyses and visualizations to extract marketing information.

3 Intermediate Classroom
Applied Statistics for Engineers Business Knowledge Series
This course begins by familiarizing attendees with JMP, JMP data tables, analyses and various utilities. Using JMP as a platform, the course continues with how to apply engineering and scientific approaches to problem solving, improvement initiatives and design questions by focusing on descriptive statistics, graphical analysis, hypothesis testing, analysis of variance, and model building. The course combines the use of JMP software with basic, intermediate, and advanced analytical methods. Interactive illustrations enable course attendees to understand statistical concepts by engaging and experimenting with them. To help guide them, attendees are also provided a set of flowcharts that integrates JMP tools into a process that shows them where they are, where they are going, and when they have fully completed the analysis. This course provides specific advice on how to exploit these methods in the real world. Engineers, scientists, and other analysts attending the course will come out prepared to take on problems and reveal exploitable insights.

3 Intermediate Classroom
Applied Statistics for Scientists Business Knowledge Series
This course combines the use of JMP with basic, intermediate, and advanced analytical methods. Interactive illustrations enable course attendees to understand statistical concepts by engaging and experimenting with them. To help guide them, attendees are also provided a set of flowcharts that integrates JMP tools into a process that shows them where they are, where they are going, and when they have fully completed the analysis. This course will provide specific advice on how to exploit these methods in the real world. Engineers, scientists, and other analysts attending the course will come out prepared to take on problems and reveal exploitable insights.

3 Intermediate Classroom
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 Live Web Classroom
JMP Software: Designing and Building a Complete JMP Script
This course will teach you how to approach writing a new script in a methodical way. A realistic case study will be 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 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 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 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 Classroom Live Web 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: 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