This is the only class of its kind that places analytic model development directly in the context of a broader enterprise-level implementation framework. This Model Development course is not just about the mechanics of building a predictive model – it’s about building models that drive tangible, measurable results for the direct benefit of the organization.
Attendees will directly experience the natural messiness and realities of organizational analytic implementation through work-along labs and guided discussions that build upon a highly realistic overall project. No other course conveys this level of knowledge transfer, experiential engagement and skill reinforcement.
Organizations now contain so much data that it has become very difficult to understand just what that data can tell us. All this data has meaning for making better prospective organizational decisions and anticipating customer needs and preferences. But how do you discover those needs and preferences within data stores that contain endless amounts of seemingly incomprehensible numbers and facts? Predictive analytics can do just that.
Only predictive analytics can transform the rapidly growing mass of inert data into actionable information assets. These assets can be leveraged for measurable gain through improved and automated decision-making. The practitioners who develop these transformative skills will be the leaders in their field.
The intent of this course is to present participants with
While this course is designed to be taken independently, it is helpful to understand its place and function within the overall ‘The Predictive Analytics Operation’ comprehensive course. Prior education or experience in analytics or statistics is helpful, but not required. Those seeking a deep drill-down into the mathematical or theoretical underpinnings of machine learning algorithms should refer to available academic or on-demand online offerings. The analytic algorithms in this course are actively demonstrated and conveyed from a functional perspective. Registrants will be required to view a three-hour online “Core Concepts” orientation prior to attending this event. Access details for the Core Concepts orientation will be shared with participants prior to the start of the course. Participants need only supply a laptop computer with Microsoft Excel. Instructions on how to download lab data and any analytic tools will be provided in a preparatory email. The instructor can assist attendees with any preparation during breaks, and before or after class.
2 Days/Lecture & Lab
This course is designed for: