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Insurance Analytics

About this Free Certificate Course

It is now possible to significantly optimize traditional business processes such as hiring, marketing, pricing, etc. using digital technologies. Data Science has become an integral part of this digital transformation, and these business decisions are made by analyzing large amounts of data. In this course, you will be exposed to some of the commonly used data science techniques and their applications in the Insurance Industry.

Also, checkout analytics in insurance course where you will understand what role does analytics play in the insurance domain. 

Course Outline

Introduction to Analytics in Insurance
Common Predictive Modeling methods in Insurance
Effect of Analytics in Auto Insurance
Effect of Analytics in Home Insurance
Effect of Analytics in Health Insurance
Other Applications and Closing remarks
Case Introduction
R Case study on heath Insurance

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Case Studies from Insurance Industry

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Other Data Science tutorials for you

The insurance industry plays a crucial role in providing financial protection and security to individuals, businesses, and communities. It encompasses a wide range of products, including life insurance, property and casualty insurance, health insurance, and more. The insurance industry is constantly evolving, adapting to new technologies, changing regulations, and shifting customer demands. The goal of this information is to provide a comprehensive overview of the insurance industry and its key players, trends, and challenges.

 

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