Exam 2: Data Concepts and Visualization

This course covers the foundational concepts and tools associated with preparing and managing data and datasets to be used in quantitative analyses, predictive modeling and data analytics with applications for P&C insurance.

  • Data Sources
  • Data Access
  • Data Usage
  • Data Quality
  • Insurance Applications
  • Regulations
  • Data Tools
  • Exploration
  • Univariate Analysis
  • Multivariate Analysis
  • Visualization

And effective with exams beginning 10/15/20

  • Project Planning
  • Ethical Considerations and Public Perception

Learning Objectives for exams beginning 10/15/2020

The CAS Institute has added Data Visualization by Kieran Healy to the syllabus for CSPA Exam 2 – Data Concepts and Visualization.  This book is a hands-on primer on how to create effective graphics from data using R and ggplot2.  Princeton University Press is offering iCAS members and friends a 30% discount on the purchase price.  Enter promo code iCAS at checkout through 12/31/21.

Study Notes

Introduction to External Readings for Data Concepts and Visualization

Corrections and Clarifications-Data Concepts and Visualization

Registration information

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Certified Specialist in Predictive Analytics (CSPA)

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