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JMP Discovered - Data Engineering for Statistical Modeling

You are using JMP, that’s great! We want you to become as effective and efficient as possible to get the most out of the usage of JMP for solving your business problems.

Although great effort is expended to collect, gather, aggregate, store data and make it available for data scientists and analysts, it is not always ready to be analyzed or consumed. Within the scope of data science, data engineering is that part that focuses on practical applications of data collection, storage, cleaning, preparing and providing access for analysis.

Many tasks need to be completed before consumption and we will use JMP as an example of a point and click based solution to perform many of these tasks.

This webinar is based on a 3h workshop. We will walk through many of the topics of the workshop, keeping it as interactive as possible. Please be ready to perform some tasks on your own in JMP and provide your answer in polls within Webex.

 

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