Actuarial & Insurance Risk Analytics
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Apply probability and statistical modeling to insurance pricing, reserving and portfolio risk: exposure and loss data, frequency/severity, credibility, trends, scenario analysis, regulation, model governance and decision communication.
- 2026 Overview — Actuarial Science & Risk Modeling
Introduce actuarial work through risk modeling and insurance decisions. - Probability Distributions — StatQuest
Build intuition for random outcomes, distributions and uncertainty. - Bayes Theorem — StatQuest
Develop evidence-updating intuition used in risk estimation.