Important Update

Coronavirus: Die Gesundheit und Sicherheit unserer Kursteilnehmer und Mitarbeiter ist uns sehr wichtig. Live von einem Trainer durchgeführte Schulungen in unseren virtuellen Live Web Klassenzimmern ersetzen derzeit die Präsenzkurse aus dem offenen Kursprogramm. Einige ausgewählte Live Web Classes stehen Ihnen bis Ende April kostenlos zur Verfügung. Pro Person kann eine (1) der kostenlosen Live Web Classes gebucht werden. Bitte haben Sie Verständnis, dass wir Gebühren für No-Shows erheben müssen.





JMP

Kurstitel / Course title Stufe / Level Kursformat / Course Format
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 Kein Level e-Learning
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 Einsteiger Classroom
Applied Statistics for Scientists
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 Einsteiger 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 Einsteiger e-Learning
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 Basiswissen Classroom
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 Basiswissen Classroom Live Web Classroom e-Learning
JMP® Software: A Case Study Approach to Data Exploration New
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 Basiswissen Classroom Live Web Classroom e-Learning
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 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
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 Für Fortgeschrittene 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 Für Fortgeschrittene 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 Für Fortgeschrittene 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 Für Fortgeschrittene 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 Für Fortgeschrittene 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 Für Fortgeschrittene Classroom Live Web 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 Für Fortgeschrittene Classroom Live Web Classroom
JMP® Pro: Analyzing Curves and Profiles Using the Functional Data Explorer New
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 Für Fortgeschrittene 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 Für Experten 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 Für Experten 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 Für Experten Classroom e-Learning
JMP® Software: Versuchsplanung und -analyse
In diesem Kurs lernen Sie, Versuche zu planen und zu analysieren, um die wenigen wichtigen Faktoren zu extrahieren oder um das Modell der Prozess-Response zu optimieren. Der Kurs konzentriert sich auf die Grundlagen der Versuchsplanung, behandelt aber auch Screening- und Response-Design.

4 Für Experten Classroom Live Web Classroom e-Learning