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Life Insurance Products Valuation in R

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Course Report - Life Insurance Products Valuation in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

To plan your financial future, it is essential to be familiar with the basics of life insurance products. This covers everything, from taking out a loan to design your retirement plan, to seeking financial protection in the event of your death. This course will help you understand the time value of money. This course will also teach you how to use human death data to calculate demographic markers such as life expectancy. By combining the basics of cash flow valuation with the calculation of survival and death probabilities in R, you will be able create life insurance products. These include life annuities which provide income upon survival as well as life insurance products that pay a benefit upon death.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

Foundations of Probability in R

What You Will Learn

In this course, you'll study the time value of money and you’ll work with human mortality data to derive demographic markers (such as the life expectancy)

You'll come out of this course understanding the valuation of life contingent claims: life annuities, which provide an income upon survival, and life insurance products, which pay a benefit upon death of the policyholder

Course Instructors

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Katrien Antonio

Professor, KU Leuven and University of Amsterdam

Katrien Antonio is professor in actuarial science at KU Leuven (Belgium) and the University of Amsterdam (The Netherlands). Katrien teaches data science methods for insurance and her research puts fo...
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Roel Verbelen

Statistician, Finity Consulting

Roel is a statistician and an R enthusiast who holds a PhD in Business Economics from KU Leuven (Belgium). His main interest lies in the use of advanced data analytical methods in the general insuran...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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