Webinars

Program Explainer Video

CAP is the premier global professional certification for analytics practitioners. Those who meet CAP's high standards and pass the rigorous exam distinguish themselves and create greater opportunities to enrich their careers. For organizations seeking to enhance their ability to transform data into actionable insights that create greater value, CAP provides a trusted means to identify, recruit and retain top analytics talent.

Certified Analytics Professional Information Webinar

Want to learn more about becoming a Certified Analytics Professional (CAP)? Watch to see what are the benefits of becoming a CAP, who is eligible, and what the exam covers.

Associate Certified Analytics Professional Informational Webinar

Learn about the Associate Certified Analytics Professional program and what benefits it brings to students.

The Certified Analytics Professional Program Refresher

First of five training videos for CAP program. Why to apply and how to prepare. Scott Nestler, CAP, describes the analytics process. Study tips included from Matt Windham, CAP.

The Certified Analytics Professional Program Refresher - Problem Framing

Second in a series of five videos helping you prepare for the CAP exam. Frank Stein, CAP, explains Business Problem Framing and Analytics Problem Framing.

The Certified Analytics Professional Program Refresher - Data

Third in a series of five videos explaining the Certified Analytics Professional Program. Robert Bordley, CAP, reviews the Data Domain covered on the CAP exam. What is data science?

The Certified Analytics Professional Program Refresher - Methodolgy Selection

Fourth in a series of five videos giving an overview of content on the Certified Analytics Professional (CAP) exam. Subhashish Samaddar, CAP, covers methodology selection.

The Certified Analytics Professional Program Refresher - Model Building, Deployment, & Life Cycle Building

Fifth of five videos covering content for the Certified Analytics Professional (CAP) exam. Alan Taber, CAP, presents on model building, deployment, and lifecycle maintenance in the analytics process.