JMP

Title	Level	Training Formats
Quality by Design (QbD) Using JMP Software 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
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. 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
Quality by Design for the Life Cycle of an Analytical Procedure The pharmaceutical industry relies on analytical procedures for the combined practices of process and formulation development, process validation, and manufacturing, as well as both in-process and final-product testing. These test methods need not only to be validated; the test methods need to be both reliable and fit for their intended use. This course provides a systematic approach to the life cycle of analytical procedures that begins in procedure design and development, continues in procedure performance qualification, and is maintained in continued procedure performance verification.	2 Fundamental
JMP Learning Subscription The JMP Learning Subscription provides unlimited access to all JMP e-Learning in an 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: JMP Software: A Case Study Approach to Data Exploration JMP Software: Statistical Decisions Using ANOVA and Regression JMP Software: Introduction to the JMP Scripting Language JMP Software: Custom Design of Experiments JMP Software: Classic Design of Experiments JMP Software: Stability Analysis Instant Applications Using JMP Application Builder Statistical Thinking for Industrial Problem Solving	2 Fundamental
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
JMP Software: Design and Analysis of Mixture Experiments	3 Intermediate
Applied Statistics for Engineers 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 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
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
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
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.	3 Intermediate
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
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
JMP Software: Custom Design of Experiments This course offers a fresh perspective for designing experiments through state-of-the-art features in JMP. This course focuses on the principles of designing an experiment and how to use all those principles to achieve an optimal design.	4 Expert