[Free] Risk Modelling And Survival Analysis Core Principles
Mastering Quantitative Techniques for Assessing Risk and Predicting Survival – Free Course
What you’ll learn
- Understanding the concept of risk, its types, and the role of actuaries in managing risk in various industries such as insurance, finance, and healthcare.
- Introduction to survival analysis techniques, including Kaplan-Meier estimator, hazard functions, censoring, and truncation.
- Exploring probability distributions commonly used in survival analysis, such as exponential, Weibull, and log-normal distributions.
- Understanding parametric models like the exponential, Weibull, and log-logistic models.
- Techniques for handling censored data in survival analysis, including right-censoring.
Requirements
- No basic prerequisite
Description
Embark on a transformative journey into the heart of actuarial science with comprehensive course on Risk Modelling and Survival Analysis Core Principles. Dive deep into the sophisticated realm of quantitative techniques and statistical methodologies that underpin the assessment of risk and the prediction of survival.
In this meticulously crafted course, you’ll unravel the intricacies of survival analysis, equipping yourself with powerful tools to decipher complex data patterns and extract invaluable insights. From mastering the estimator to delving into advanced parametric and non-parametric survival models, you’ll gain the expertise needed to navigate real-world scenarios with confidence and precision.But this course isn’t just about theoretical concepts; it’s about practical application. Through hands-on exercises and immersive case studies, you’ll apply your newfound knowledge to solve challenging problems encountered in insurance, finance, and beyond.
By the end of this course, you’ll not only possess a deep understanding of risk modelling and survival analysis principles but also the practical skills to excel in a competitive marketplace.
Key Highlights:
– Explore fundamental principles of survival analysis and risk modelling
– Master parametric and non-parametric survival models
– Apply statistical techniques to real-world actuarial problems
– Gain hands-on experience with industry-standard software tools
– Stay ahead of the curve with cutting-edge insights and emerging trends
Author(s): Sourav Das
