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 Python 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

    • 4.1 - Introduction

    • 4.2 - Lee Carter

    • 4.3 - Other Forecasting Models

    • 4.4 - Conclusion

  • 5

    5. Visualisations & Reporting

    • 6.1 - Introduction

    • 6.2 - Visualisation of Results

    • 6.3 - Merits of the Models

    • 6.4 - Recommendations

    • 6.5 - Conclusion

  • 6

    Appendix and Further Resources

    • Blank Python Notebook (Optional)