Course curriculum

  • 1

    Welcome

  • 2

    Recorded video and slides

    • Video 1.1: Introduction to risk classification & From linear to GLM

    • Slides 1.1: Introduction to risk classification & From linear to GLM

    • Quiz 1.1

    • Video 1.2: Poisson regression for claim counts

    • Slides 1.2: Poisson regression for claim counts

    • Quiz 1.2

    • Video 1.3: Gamma and logistic regression

    • Slides 1.3: Gamma and logistic regression

    • Quiz 1.3
  • 3

    Live Lesson

    • Live Lesson: Practical difficulties with GLM

    • Recording: Practical difficulties with GLM lesson

    • Slides: Practical difficulties with GLM
  • 4

    Case study Notebooks

    • Example: Poisson, Gamma and logistic regressions with R

    • Hands-on Case Study: Developing a new technical tariff (downloadable)
  • 5

    Submissions and solutions

    • Submission: Developing a new technical tariff
  • 6

    Appendix and further Resources

    • Blank R Notebook (Optional)

    • Introducing R and Rstudio

    • A User Guide For Jupyter Notebooks

    • RStudio Helpful Guide (Ref 1)

    • Data Importing Helpful Guide (Ref 2)

    • dplyr Helpful Guide (Ref 3 )

    • ggplot Helpful Guide (Ref 4)

    • List of Relevant Resources from the Resource Library