CS2 Risk Modelling and Survival Analysis

Overview

Core Principles

CS2 Risk Modelling and Survival Analysis provides a thorough understanding of mathematical and statistical modelling techniques. These will be necessary for actuarial work, especially for computing stochastic processes and survival models and its applications.

Learning

CS2 requires total of 300 hours of learning. You will receive 150 hours of recorded online classes and lectures and you need to invest another 150 hours to complete assignments, solve subject-wise questions, prepare and sit for mock tests, etc. You will also learn R programming modules from scratch and solve assignments regarding the same.

After successful completion of this course, you will be able to use statistical distribution for risk modelling, as well as describe and apply the concepts underlying the analysis of time series models.

CS2 also teaches you how to describe and apply Markov chains and processes and techniques of survival analysis. You will learn the basic principles of machine learning as well.

What do we provide

For CS2, you receive the following study materials.

All our study materials can be accessed from our cloud servers. You can also use our Android or iOS app to access online lectures, assignments, and papers.

Assessment

An assessment follows the course, consisting of a computer-based data analysis and statistical modelling assignment (for a period of one hour forty-five minutes), and an online, typed examination (of three hours fifteen minutes).

Please note: Course and coaching fee is valid at S-CUBE Tutorials till the paper you took coaching for is not cleared.

Curriculum

Instructor

Anmol Bansal

₹32,000.00

Course Features

Lectures 0
Quizzes 0
Duration Lifetime access
Skill level All levels
Language English
Students 0
Assessments Yes