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Conditional Expectation Course

Conditional Expectation Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in conditional expectation via this targeted course on managing risk and uncertainty. Explore iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values. With guided examples, numerical verification, and reporting tips, you will produce accurate, reliable outcomes swiftly and share them with assurance.

Elevify advantages

Develop skills

  • Master conditional expectation using LOTUS, iterated expectation, and sigma-field methods.
  • Calculate Poisson aggregate losses including E[S], P(N≥1), and conditional claims swiftly.
  • Model exponential claim sizes with truncation, deductibles, and excess loss expected present values.
  • Apply life tables for survival probabilities, curtate lifetime K, and short-term expected present values.
  • Present technical findings clearly with notes, assumptions, and insights ready for pricing.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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