Actuartech

5.1 - Overview

5.2 - Creating Scatter Plots

5.3 - Creating Line Plots

5.4 - Creating Bar Charts

5.5 - Creating Histogram and Density Plots

5.6 - Creating Box Plots

5.7 - Summary

5.8 - Visualisation Quiz

RStudio Sandbox (Optional IDE to run code)

6.1 - Final Assignment Notebook

6.2 - Final Assignment Submission

1.1 - Introduction

1.2 - Business Context

1.3 - Overview of the Lapse Study

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

3.1 - Introduction

3.2 - Preliminary Analysis

3.3 - Feature Engineering

3.4 - Conclusion

4.1 - Introduction

4.2 - Standard Multiple Linear Regression Model

4.3 - CART Models

4.4 - Advanced Regression Tree Models

4.5 - Conclusion

5.1 - Introduction

5.2 - Visualisation

5.3 - Merits of the Models

5.4 - Recommendations

5.5 - Conclusion

1.1 - Introduction to Case Study

1.2 - Business Context

1.3 - Overview of Mortality Modelling Approaches

2.1 - Introduction

2.2 - Outline of the Problem

2.3 - Overview of the Data

2.4 - Relevant R Packages

2.5 - Conclusion

3.1 - Introduction

3.2 - Preliminary Analysis of the Data

3.3 - Feature Engineering

3.4 - Conclusion

4.1 - Introduction

4.2 - Parametric Regression Models

4.3 - Advanced Regression Models

4.4 - Conclusion

5.1 - Introduction

5.2 - Testing/Training Split

5.3 - Poisson Regression

5.4 - Generalised Additive Model

5.5 - Gradient Boosting Machine

5.6 - Conclusion

6.1 - Introduction

6.2 - Visualisation of Results

6.3 - Merits of the Models

6.4 - Recommendations

6.5 - Conclusion

RStudio Helpful Guide

Data Importing Helpful Guide

dplyr Helpful Guide

ggplot Helpful Guide

1.1 - Overview of the Course

1.2 - Principles of Visualisation

1.3 - Visualisation Best Practices

2.1 - Introduction

2.2 - Overview of the Problem: Natural Catastrophe Data

2.3 - Overview of the Problem: COVID-19 Data

2.4 - ggplot2 Outline

2.5 - Conclusion

3.1 - Introduction

3.2 - Preliminary Analysis: Natural Catastrophe Data

3.3 - Preliminary Analysis: COVID-19 Data

3.4 - Re-shaping our Data

3.5 - Conclusion

4.1 - Introduction

4.2 - Natural Disasters by Country/Region: Asia vs Americas

4.3 - Natural Disasters by Type

4.4 - Reporting on Deaths and Economic Loss

4.5 - Conclusion

5.1 - Introduction

5.2 - COVID-19 Cases by Country: United Kingdom vs South Africa

5.3 - COVID-19 Deaths by Country: United Kingdom vs South Africa

5.4 - Understanding how Government Intervention effected Case Numbers and Deaths: Lockdowns and Travel Bans

5.5 - Conclusion

6.1 - Introduction

6.2 - Creating an R Shiny Dashboard

6.3 - Deploying a Dashboard

6.4 - Conclusion