05-17-2016 - Building the Analytics-Driven Operation - Development - Washington, DC

Analysts whose responsibility is focused solely on applying statistical and machine learning methods to arrive at valid prescriptive insights that align with organizational priorities may attend this vendor-neutral exposure to the Model Phase as a stand-alone course.

Building the Analytics-Driven Operation | Development course is the only class of its kind that places analytic model development directly in the context of a broader enterprise-level implementation framework. This 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. This event covers the Fourth Phase of the Seven-Phase Modeling Practice Framework: Model.

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.

Who Should Attend Building the Analytics-Driven Operation | Development Course?

• Data Scientists
• Functional Analytic Practitioners
• Big Data Analysts
• Project Leaders
• Business Analysts
• IT Professionals
• Anyone Overwhelmed with Data and Starved for Actionable Insights

Upon successful completion, students will earn 18 INFORMS Professional Development Units.

Prerequisites

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.

What Makes This Seminar Unique

This course does not restrict or skew the presentation of machine learning methods through a single product. Rather, the Model Development course gives broad consideration of predictive analytics from a purely vendor-neutral perspective.

Live modeling demonstrations will precede follow-along exercises. Participants will directly experience the natural messiness of data mining to discover what really works, as well as what doesn’t and why. The instructor will show how to evaluate various features and available products based upon strengths, limitations, function, value and general performance.

As active consultants on large organization analytic implementations, each member of TMA’s seasoned faculty possesses a wealth of practical experience in applying predictive analytics across industries. This course, like no other, insists upon making predictive analytics purposeful, measurable and actionable in a larger and more complex organizational setting.