Sharpen Your Skills at Predictive Analytics World and Text Analytics World by Adding a Related Hands-on Workshop
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Broaden Your Expertise by Mixing and Matching Workshop and Conference Topics
Once you know the basics of predictive analytics, there's no better way to dive in than operating real predictive modeling software yourself – hands-on. "Get your hands dirty" by trying out state-of-the art modeling methods on real data. Working to solve a specific business problem, you will design and execute on a core analytical approach. Prep the data, set up the modeling, push "go" and check out the results
"Hands-on Predictive Analytics" puts predictive analytics into action. This one-day workshop leads participants through the industry standard data mining process, from Business Understanding through Model Deployment, approaching each stage of this process by driving a state-of-the-art data mining software product. In this way, attendees gain direct experience applying this "best practices" process, and ramp up on an industry-leading tool to boot.
Your organization holds an increasing amount of data in unstructured and semi-structured formats from customer e-mails, call center logs, incident descriptions, suspicious transaction reports, open-ended customer survey responses, news feeds, Web forms, and so on. Leveraging this information in a thorough and systematic way is increasingly critical in order to understand customer behavior and attitudes, develop successful predictive models and drive business decisions.
This introduction to text analytics provides true hands-on experience, using IBM SPSS Modeler and IBM SPSS Text Analytics software. The course will guide you to actively analyze text, improving the understanding of unstructured data, and using this understanding to enhance data mining models
Predictive Analytics World will be co-located alongside Text Analytics World, as part of Data Driven Business Week, providing cross-registration options for access to a wide scope of leading analytical coverage and case studies.
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