Online or onsite, instructor-led live IBM SPSS Modeler training courses demonstrate through interactive hands-on practice how to use IBM SPSS Modeler to perform data mining and text analytics activities.
IBM SPSS Modeler training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live IBM SPSS Modeler training can be carried out locally on customer premises in Oxford or in NobleProg corporate training centers in Oxford.
IBM SPSS Modeler is also known as SPSS Modeler.
NobleProg -- Your Local Training Provider
Oxford
7200 The Quorum, Oxford, united kingdom, OX4 2JZ
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just insid...
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just inside the ring road and a 40 minute drive from London. The park offers a thriving environment for businesses of all sizes, working in a range of sectors including engineering, electronics, telecommunications and government agencies. Over 45 local and international companies and about 4,000 people are based here and a number have chosen this as the location for their headquarters. All enjoy the park's excellent communications and amenities as well as its award-winning landscaping, with mature trees and shrubs, water features and cycle tracks. Oxford is known as the city of dreaming spires and world-famous for its ancient university, the oldest in the English speaking world. Today it is a bustling, cosmopolitan place with a growing and thriving business community, including many hi-tech companies.
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This instructor-led, live training in Oxford (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities.
By the end of this training, participants will be able to:
Understand the fundamentals of data mining.
Learn how to import and assess data quality with the Modeler.
Develop, deploy, and evaluate data models efficiently.
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