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Conditional Expectation Course

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

What will I learn?

Gain expertise in conditional expectation through practical applications in risk modeling. Explore iterated expectations, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values with guided examples, checks, and reporting tips for fast, confident computations in insurance contexts.

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.
  • Model exponential claim severities with truncation, deductibles, and excess loss EPV.
  • Apply life tables for survival probabilities, curtate lifetime K, and short-horizon EPVs.
  • Communicate technical 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

What our students are saying

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