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Conditional Expectation Course

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

What will I learn?

Gain expertise in conditional expectation through practical applications in risk and uncertainty. Explore iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and actuarial present values. Detailed examples, numerical verifications, and reporting tips enable quick, confident computation and communication of robust results.

Elevify advantages

Develop skills

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

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 my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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