Introduction to Insurance Data Analytics

Catalog description

Offers an overview of analytics concepts and practices. Uses case studies of successful analytics initiatives within the insurance industry to examine how the collection and analysis of data impacts decision making. Introduces statistics for business analytics from an analysis-of-data viewpoint. Topics include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; categorical data; continuous probability distributions; confidence intervals; and hypothesis testing. Offers students an opportunity to engage with the current theories, practices, and debates in the field of analytics to critically examine its practice for insurance industry professionals.