Conditional Expectation Course
This course provides hands-on mastery of conditional expectation applied to Poisson processes, claim severities, deductibles, life tables, and actuarial present values. Participants will gain practical skills to compute reliable results and deliver clear, business-ready insights for insurance pricing, reserving, and risk analysis, supported by step-by-step examples and numeric verification techniques.

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.What our students say
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