Predictive Analytics & Data Mining Strategic Implementation

Training Summary
This comprehensive work-along exposure to the full modeling process development methodology provides leaders and practitioners with the combined strategic and tactical orientations to predictive analytics. Live demonstrations follow short lecture segments. Participants then proceed to build an overarching project in stages with the autonomy to directly experience the natural messiness of data mining. No other training in the market provides such an immersive, skill-reinforcing and complete view of the practice - particularly with a real-world focus and vendor-neutral perspective. If you are a business or public sector leader or practitioner looking to propel your organization's analytic maturity and put predictive analytics to work for measurable gain, then this course is designed for you.
Registrants will be required to view a four-hour asynchronous "Core Concepts" orientation prior to attending this event. (ProTech PT0276). Access details for the Core Concepts orientation will be shared with participants prior to the start of the course. Prior education or experience in data analytics or statistics is helpful, but not required.
5 Days/Lecture & Lab
It Executives And Big Data Directors: CIOs, CAOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers who desire to transform their deluge of inert data to actionable assets Line-Of-Business Executives And Functional Managers: Risk Managers, Customer Relationship Managers, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Direct Marketing Analysts, Medical Diagnostic Analysts, eCommerce Company ExecutivesData Scientists Who recognize the importance of complementing their tactical proficiency with a strategic planning and design approach to advanced analyticsTechnology Planners Who survey emerging technologies in order to prioritize corporate investmentConsultants Whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies
Course Topics
  • Core Concepts
  • Plan Phase
  • Prepare and Build Phases
  • Confirm Phase
  • Adopt Phase
  • Replace Phase
  • Special Topics
  • Extended Modeling Topics
  • Wrap-up and Next Steps

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