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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 for risk and uncertainty via iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values. Includes guided examples, checks, and reporting tips for fast, confident computations and communication.

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 metrics.
  • Model exponential claim sizes with truncation, deductibles, and excess loss EPV.
  • Apply life tables for survival probabilities, curtate lifetime K, and short-horizon EPVs.
  • Communicate results clearly with notes, assumptions, and pricing insights.

Suggested summary

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

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