Masterclass Big Data (Predictive & Cognitive Analytics in Big Data)

  • Address: EIB Building No.01 Office 305-307 Dubai Media City - Dubai, UAE (Map)
  • Tel: Show Number
Price: AED 18,070

Inquiry

The workshop is delivered in modules of one hour where the instructor will explain with the aid of practical demonstration then allow the class time to imitate on their terminals. Each Presentation Session will be followed by a one hour practice and problem solving session, short break and before moving onto the next concept.

The techniques used in these workshops are known as ‘Defence Instructional Techniques’ and is a technique for extremely high intensity training with good retention of the concepts trained. The pace of this workshop is extremely fast, high intensity and in places quite pressured.

What will I learn?

  • Understand Predictive Analytics and be able to communicate data and your data manipulation ideas in a commonly understood manner.
  • Analyze using summary statistics and be able to apply techniques to describe data using Palisade Statools.
  • Create your first useable models with Linear and Logistic Regression using Palisade StatTools.
  • Collaborate in making sense of your subjective judgment using probability, likelihood and decision trees using Palisade PrecisionTree.
  • Design Bayesian network models applying techniques to create Causes and Consequence models using Norsys Netica.

Target Audience:

  • Heads of Technology
  • Heads of Analytics
  • Marketing Managers
  • Risk Executives
  • C-Suite Executives: CEOs, CFOs, CMOs, COOs, CIOs etc
  • Business Unit HeadsCards and payments suppliers
  • Developers

Benefits:

Big Data, Predictive Analytics and Cognitive Analytics are seeing explosive growth.  There is a shortfall of individuals who understand these concepts.  Not having these skills in any industry which aggregates data leads to an enormous competitive disadvantage.

Companies need to be adopting an information based strategy and therefore they need to understand the topics being presented in this course.

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