DataCamp

Life Insurance Products Valuation in R

Business and Economics

Short Description

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Long Description

Having a solid understanding of the fundamental principles of life insurance products is crucial for effective personal financial planning. These principles are applicable to various aspects of your financial life, including obtaining a mortgage, creating a retirement plan, and safeguarding against the financial risks associated with premature death. In this course, you will delve into the concept of the time value of money and explore the utilization of human mortality data to derive important demographic indicators, such as life expectancy. By combining the fundamentals of cash flow valuation with the calculation of survival and death probabilities using the programming language R, you will gain the ability to develop insightful tools for designing life insurance products. Upon completion of this course, you will have a comprehensive understanding of the valuation of life contingent claims, specifically life annuities that provide a regular income in the event of survival, and life insurance products that offer a financial benefit upon the death of the policyholder.

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Course Details

Duration
4 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.