Welcome Screen

0.2 - Introducing R and RStudio

0.3 - A User Guide for Jupyter Notebooks

0.4 - Overview of Quizzes, Coding Challenges, and Final Assignment

0.5 - How to Install R, External Packages, Jupyter, and RStudio (Reference)

1.2 - Basic Concepts

1.3 - Example: Using R as a Calculator

1.4 - Example: Linear Regression and Plotting

1.5 - Summary

Coding Challenge: Week 1

Live Lesson Demo: Overview of R Syntax

Live Lesson: Data Collection and Data Management

2.1 - Overview

2.2 - Introducing Vectors

2.3 - Subsetting Vectors and Extracting Elements

2.4 - Matrix

2.5 - Data Frames

2.6 - Useful Functions for Data Frames

2.7 - Reading External Files

2.8 - R's Built-in Datasets

2.9 - Example: Natural Disaster Data

2.10 - Summary

2.11 - Data Collection Quiz

3.1 - Overview

3.2 - Conditionals

3.3 - for Loops

3.4 - while Loops

3.5 - Functions

3.6 - Example: Cash Flow

3.7 - Summary

3.8 - Data Management Quiz

Coding Challenge: Week 2

Live Lesson: Data Collection, Iterators, Conditionals, and Functions

Live Lesson: Model Building

4.1 - Overview

4.2 - Object Functions

4.3 - Mathematical Functions

4.4 - Statistical Functions

4.5 - apply Functions

4.6 - Statistical Models: Introduction to Linear Regression

4.7 - Summary

4.8 - Model Building Quiz

Bonus: Introduction to Generalised Linear Models

Bonus: Introduction to Machine Learning Regression Techniques

Coding Challenge: Week 3

5.1 - Overview

5.2 - Creating Scatter Plots

5.3 - Creating Line Plots

5.4 - Creating Bar Charts

5.5 - Creating Histograms and Density Plots

5.6 - Creating Box Plots

5.7 - Summary

5.8 - Visualisation Quiz

ggplot2 Essentials

Coding Challenge: Week 4

Blank R Notebook (Optional Use)

Titanic Dataset

RStudio Helpful Guide [Ref F1]

Data Importing Helpful Guide [Ref F2]

dplyr Helpful Guide [Ref F3]

ggplot2 Helpful Guide [Ref F4]

Reference List