Course curriculum

    1. Welcome Screen

    2. Welcome Letter

    3. Introductory Presentation

    4. Introduction to the Platform

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    1. 0.1 - Welcome

    2. 0.2 - Introducing R and RStudio

    3. 0.3 - A User Guide for Jupyter Notebooks

    4. 0.4 - Quizzes and Coding Challenges

    5. How to Install R, External Packages, Jupyter, and RStudio (Reference)

    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. Coding Challenge: Week 1

    7. Coding Challenge: Week 1 MEMO

    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

    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. Coding Challenge: Week 2

    10. Coding Challenge: Week 2 MEMO

    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. Bonus: Introduction to Generalised Linear Models

    10. Coding Challenge: Week 3

    11. Coding Challenge: Week 3 MEMO

About this course

  • £150.00
  • 68 lessons
  • 1.5 hours of video content