Conditional Expectation Course
This course builds expertise in conditional expectation through practical applications in Poisson processes, claim severities, deductibles, life tables, and actuarial present values. Participants gain skills to compute reliable results and deliver business-ready insights for insurance pricing, reserving, and risk analysis, supported by step-by-step examples and numeric verification techniques.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain mastery in conditional expectation via real-world applications in risk and uncertainty. Explore iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and actuarial present values. Benefit from guided examples, numeric checks, and reporting tips to produce accurate, defensible outcomes efficiently.
Elevify advantages
Develop skills
- Master conditional expectation using LOTUS, iterated and sigma-field methods.
- 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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