The JMP software, pronounced "jump", is an all-rounder in the field of statistics with an excellent price-performance ratio. It is pretty fast to learn and easy to use, especially if you are not a statistician or programmer. No matter, if you are well trained technical user, or if you have no experience in dealing with statistical software - JMP is intuitive, flexible and interactive with a short learning curve.

It is particularly helpful for beginners that every statistical method (from a simple t-test to the complex life cycle analysis) comes with a graphical representation. This makes it possible for new users to understand the contexts quickly. For advanced users JMP offers many opportunities both in the field of statistics (GLM, neural networks, DoE, multivariate methods, process capability, ...) as well as in the field of programming with the JSL script language, which makes automation very easy, but still highly sophisticated.


More information about "JMP - Trainings" can be found on our info-page.
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JMP - Classic Design of Experiments

JMP - Classic Design of Experiments

JMP - Classic Design of Experiments

This 2-day-training introduces classical methods of design of experiments. Learn how to use DoE for optimization of products or processes: with low cost, large success and with JMP.

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JMP - Analysis of Variance and Regression

JMP - Analysis of Variance and Regression

JMP - Analysis of Variance and Regression

This 2-day training introduces the two probably most important statistical methods. Learn when and how to use ANOVA and linear Regression with JMP.

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JMP - Introduction

JMP - Introduction

JMP - Introduction

This one day course gives a great overview over many of JMPs features. The perfect introduction to data analysis with JMP.

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JMP - Scripting Language

JMP - Scripting Language

JMP - Scripting Language

In this 2-day-training you will learn how to use the JMP Scripting Language (JSL) for automatization of routine tasks and developement of new methods.

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