JMP

標題	等級	培訓格式
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
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 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: JMP® Software: A Case Study Approach to Data Exploration JMP® Software: Statistical Decisions Using ANOVA and Regression 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
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 are used to present typical data issues that students see.	2 Fundamental
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
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
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: 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: 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
Predictive Modeling Using JMP Pro The course covers the skills required to develop, assess, tune, compare, and score predictive models using JMP Pro software.	4 Expert
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
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