Conditional Expectation Course
This course builds strong skills in conditional expectation through practical exercises on Poisson processes, claim severities, deductibles, life tables, and actuarial present values. Learners gain confidence in computing accurate results and sharing business-ready insights for insurance pricing, reserving, and risk decisions, transforming complex theory into reliable tools for real-world uncertainty management.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in conditional expectation via targeted lessons on iterated expectations, sigma-fields, Poisson processes, exponential claims, deductibles, life tables, and present values. Hands-on examples, numerical validations, and reporting tips enable quick, confident calculations and clear communication of dependable results in risk and insurance contexts.
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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