Course curriculum

    1. Foundations in R for Actuaries Presentation

    1. How to use Actuartech Academy

    2. 0.1 - Objectives of the Course

    3. 0.2 - Introducing R

    4. 0.3 - Introducing RStudio

    5. 0.4 - Introducing Jupyter Notebooks

    6. 0.5 - Quizzes and Assessments: how it works

    7. RStudio Sandbox (Optional IDE to run code)

    8. How to install R, Jupyter and RStudio (References)

    1. 1.1 - Overview

    2. 1.2 - Basic Concepts

    3. 1.3 - Example: Using R as a Calculator

    4. 1.4 - Example: Linear Regression and Plotting

    5. 1.5 - Summary

    6. RStudio Sandbox (Optional IDE to run code)

    7. Coding Challenge: Week 1

    1. 2.1 - Overview

    2. 2.2 - Introducing Vectors

    3. 2.3 - Subsetting Vectors and Extracting Elements

    4. 2.4 - Matrix

    5. 2.5 - Data Frames

    6. 2.6 - Useful Functions for Data Frames

    7. 2.7 - Reading External Files

    8. 2.8 - R's Built-in Datasets

    9. 2.9 - Example: Natural Disaster Data

    10. 2.10 - Summary

    11. 2.11 - Data Collection Quiz

    12. RStudio Sandbox (Optional IDE to run code)

    1. 3.1 - Overview

    2. 3.2 - Conditionals

    3. 3.3 - for Loops

    4. 3.4 - while Loops

    5. 3.5 - Functions

    6. 3.6 - Example: Cash Flow

    7. 3.7 - Summary

    8. 3.8 - Data Management Quiz

    9. RStudio Sandbox (Optional IDE to run code)

    10. Coding Challenge: Week 2

    1. 4.1 - Overview

    2. 4.2 - Object Functions

    3. 4.3 - Mathematical Functions

    4. 4.4 - Statistical Functions

    5. 4.5 - apply Functions

    6. 4.6 - Statistical Models: Introduction to Linear Regression

    7. 4.7 - Summary

    8. 4.8- Model Building Quiz

    9. RStudio Sandbox (Optional IDE to run code)

    10. Live Lesson Week 3: GLM Model Building Sandbox [Includes Terminal]

    11. Coding Challenge: Week 3

About this course

  • £100.00
  • 67 lessons
  • 0 hours of video content