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The Online Tutorial or Classroom will be an either a valuable add-on or a great alternative to a face-to-face tutorial. The Online Classroom in each subject is a comprehensive mix of teaching units that helping you to grips with the course material, and guided questions, enabling you to learn the most efficient ways to answer questions and avoid common exam pitfalls.

Wherever you are in the world, you can attend
our online class in your own time.

Subjects

CS2 Risk Modeling And Survival Analysis

CS2 – This will be examined in a set of 2 papers. CS2A is 3 hours paper based assessment and CS2B is 1 hour 45 minutes’ online exam which R programming along with Statistics and Modelling.

Syllabus topics covers – Stochastic processes, Markov chain, Survival models, Graduation, Time series, Loss distributions, Copulas, Extreme Value Theory, Random variables and distributions for risk modelling, Machine learning

The online class help you to understand core concepts. Each subjects required to attend 60 hrs classes.

The satisfied students should pay the fees to continue the class.

  • Four Module covers entire 21 chapters
  • Each Module have 15 hours classes.
  • Explaining the theory and problems step by step
  • Each sessions notes available bottom of class.
  • Practice of problems available end of the Chapters
  • Evaluating the progress of the subject by assessment

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4 Module with 21 chapters - Total 160 class

CS2 Module 1 :- 5 chapters
( 37 class)
Chapter 1 stochastic process
Chapter 2 Markov Chain
Chapter 3 - The two-state Markov model and the Poisson model
Chapter 4 - Time-homogeneous Markov jump processes
Chapter 5 -Time- Inhomogeneous Markov jump process
CS2 Module 2 :- 6 chapters
( 40 class)
Chapter 6 Survival models
Chapter 7 Estimating the lifetime distribution function
Chapter 8 Proportional hazards models
Chapter 9 Exposed to risk
Chapter 10 Graduation and statistical tests
Chapter 21 Machine Learning (free 10 classes)
CS2 Module 3 :- 5 chapters
( 40 class)
Chapter 11 Methods of graduation
Chapter 12 Mortality projection
Chapter 13 Time Series 1
Chapter 14 Time Series 2
Chapter 15 Loss Distribution
CS2 Module 4 :- 5 chapters
( 43 class)
Chapter 16 Extreme Value Theory
Chapter 17 Copula
Chapter 18 Reinsurance
Chapter 19 Risk Models 1
Chapter 20 Risk Models 2
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