Practical Predictive Analytics Seminar


May 09, 2018


Baltimore Marriott Waterfront
Baltimore, MD

  • Results-Oriented Solutions
  • Technical Skills & Analytical Problem Solving


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Presented by

SOA Predictive Analytics & Futurism Section

Program Overview

In this hands-on one-day seminar, participants will learn how to build a basic predictive model through generalized linear models using R. They will learn how to build the models for life and annuity experience analysis; how to apply the models in assumption development for pricing and valuation; and their differences from traditional models.

Experts will introduce the key concepts of predictive analytics modeling like translating a question into a model form, finding the right balance of model complexity and interpretability while avoiding overfit. Participants will gain an appreciation of some of the mathematical concepts underlying the modeler’s choices. They will learn how to communicate their modeling results to a less technical audience in a clear and understandable way. Finally, participants will be exposed to more advanced techniques, as well as the tradeoffs among the range of platforms and languages available.

The R software package will be used for this seminar. Participants are expected to go through a brief introduction to R prior to the seminar. Software and dataset download locations and background material will be distributed in advance.

In order to participate fully during the seminar, please be sure to:

  • Bring a laptop with a 64-bit OS
  • Install required software in advance, including R and RStudio
    • A complete list will be provided well in advance
    • A tech session the night before the seminar will be provided for troubleshooting
  • Download the sample datasets
  • Complete basic R training sufficient to run R and execute the demonstrations

Educational Objectives

At the end of the seminar, participants will be able to create a basic predictive model using the R software package, evaluate it and communicate the results to a less technical audience. Participants will also have an understanding of the resources available to them for extended applications of predictive modeling, including software platforms, other popular languages and options for automating documentation.

Target Audience

This seminar is ideal for anyone who is interested in learning about predictive analytics and would like to have a deeper understanding of the subject by learning with a hands-on approach.

Level of Difficulty

The seminar is designed for participants with beginner level experience in predictive modeling; current familiarity with ASA-level statistical concepts such as likelihood maximization and minimization of mean squared error; and ability to pick up R syntax.





Demonstrating the listening, writing and speaking skills required to effectively address diverse technical and nontechnical audiences in both formal and informal settings.

Professional Values

Adhering to standards of professional conduct and practice where all business interactions are based on a foundation of integrity, honesty and impartiality.

External Forces & Industry Knowledge

Identifying and incorporating the implications of economic, social, regulatory, geo-political and business changes into the design and delivery of actuarial solutions.


Initiating, innovating, inspiring, creating or otherwise acting to influence others regardless of level or role toward a common goal.

Relationship Management & Interpersonal Collaboration

Creating mutually beneficial relationships and work processes toward a common goal.

Technical Skills & Analytical Problem Solving

Applying the actuarial knowledge, skills and judgment required to provide value-added services.

Strategic Insight & Integration

Anticipating trends and strategically aligning actuarial practice with broader organizational business goals.

Results-Oriented Solutions

Providing effective problem solving that addresses relevant interests and needs.