Course curriculum

  • 1

    1 - Introduction

    • 1.1 - Introduction to Case Study

    • 1.2 - Business Context

    • 1.3 - Overview of Mortality Modelling Approaches

  • 2

    2 - Problem Specification

    • 2.1 - Introduction

    • 2.2 - Outline of the Problem

    • 2.3 - Overview of the Data

    • 2.4 - Relevant R Packages

    • 2.5 - Conclusion

  • 3

    3 - Data Collection and Data Management

    • 3.1 - Introduction

    • 3.2 - Preliminary Analysis of the Data

    • 3.3 - Feature Engineering

    • 3.4 - Conclusion

  • 4

    4 - Model Building I: Graduation based on Age

    • 4.1 - Introduction

    • 4.2 - Parametric Regression Models

    • 4.3 - Advanced Regression Models

    • 4.4 - Conclusion

  • 5

    5 - Model Building II: Graduation based on Age, Gender, Salary, and Industry Code

    • 5.1 - Introduction

    • 5.2 - Testing/Training Split

    • 5.3 - Poisson Regression

    • 5.4 - Generalised Additive Model

    • 5.5 - Gradient Boosting Machine

    • 5.6 - Support Vector Regression

    • 5.7 - Conclusion

  • 6

    6 - Reporting

    • 6.1 - Introduction

    • 6.2 - Visualisation of Results

    • 6.3 - Merits of the Models

    • 6.4 - Recommendations

    • 6.5 - Conclusion