Conditional Expectation Course
This course builds expertise in conditional expectation through practical exercises on Poisson processes, claim severities, deductibles, life tables, and actuarial present values. Learners gain skills to compute accurate results and deliver business-ready insights for insurance pricing, reserving, and risk decisions, ensuring reliable analysis under uncertainty.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain mastery in conditional expectation via this targeted course on managing risk and uncertainty. Explore iterated expectation, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values. With step-by-step examples, numerical verification, and reporting tips, you'll compute and share dependable results swiftly and surely.
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 sizes with truncation, deductibles, and excess loss EPV.
- Apply life tables for survival probabilities, curtate lifetime K, and short-horizon EPVs.
- Present technical findings clearly with notes, assumptions, and 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.What our students say
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