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
- Data Tools
- Univariate Analysis
- Multivariate Analysis
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.