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.
CS1 – This will be examined in a set of 2 papers. CS1A is 3 hours paper-based assessment and CS1B is 1 hour 45 minutes’ online exam which R programming along with Statistics and Modelling.
Syllabus topics covers – Probability distributions, generating functions, Joint distributions, Conditional expectation, The Central Limit Theorem, Sampling and statistical Inference, Point estimation, Confidence intervals, Hypothesis testing, Linear regression, Multiple linear regression, Generalised linear Models, Bayesian statistics, Credibility theory, Empirical Bayes Credibility theory
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.
| CS1 Module 4 :- 4 chapters ( 0 class) |
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| Chapter 12 Generalized linear model (15 class) |
| Chapter 13 Bayesian statistics |
| Chapter 14 Credibility theory |
| Chapter 15 Empirical Bayes Credibility theory |
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