Course curriculum

  • 1

    1 - Introduction

    • 1.1 - Introduction

    • 1.2 - Business Context

    • 1.3 - Overview of the Lapse Study

  • 2

    2 - Problem Specification

    • 2.1 - Introduction

    • 2.2 - Overview of Business Tasks and Models

    • 2.3 - Overview of the Data

    • 2.4 - Relevant R Packages

    • 2.5 - Conclusion

  • 3

    3 - Data Collection and Management

    • 3.1 - Introduction

    • 3.2 - Preliminary Analysis

    • 3.3 - Feature Engineering

    • 3.4 - Conclusion

    • Project Instructions

    • Project Template

  • 4

    4 - Model Building

    • 4.1 - Introduction

    • 4.2 - Standard Multiple Linear Regression Model

    • 4.3 - CART Models

    • 4.4 - Advanced Regression Tree Models

    • 4.5 - Conclusion

  • 5

    5 - Reporting

    • 5.1 - Introduction

    • 5.2 - Visualisation

    • 5.3 - Merits of the Models

    • 5.4 - Recommendations

    • 5.5 - Conclusion

  • 6

    Appendix and Further Resources

    • Introducing R

    • Introducing RStudio

    • Introducing Jupyter Notebooks

    • RStudio Sandbox (Optional IDE to run code)

    • RStudio Helpful Guide

    • Data Importing Helpful Guide

    • dplyr Helpful Guide

    • ggplot Helpful Guide