R Programming for Beginners: Includes R Mini-Project!

Course Curriculum

Chapter 1: Welcome

Lecture 1: Welcome!

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Course Exercise Files

Lecture 4: DOWNLOAD ME: Course Instructor Files

Chapter 2: Introduction to R

Lecture 1: Why R?

Lecture 2: R for Data Science

Lecture 3: Preparing Workspace

Lecture 4: Guide to RStudio

Lecture 5: Exercise 1 – Introduction to R

Chapter 3: Hello World! – Basics of R programming

Lecture 1: Operations-and-variables

Lecture 2: Data Types in R

Lecture 3: Coding Style

Lecture 4: Comments

Lecture 5: Exercise 2 – Basics of R programming

Chapter 4: Vectors

Lecture 1: Vector Creation

Lecture 2: Selecting Components from a Vector

Lecture 3: Labeling Vector Elements

Lecture 4: Calculations with Vectors

Lecture 5: Base R functions to use with vectors

Lecture 6: Comparing two Vectors

Lecture 7: Modifying Vector Components

Lecture 8: Exercise 3 – Vectors

Chapter 5: Matrices

Lecture 1: Matrix Introduction and Creation

Lecture 2: Matrix Metrics and Naming

Lecture 3: Selecting Elements

Lecture 4: Matrix Arithmetic

Lecture 5: Matrices Operations

Lecture 6: Matrix Modification

Lecture 7: Exercise 4 – Matrices

Chapter 6: Arrays

Lecture 1: Array Introduction and Creation

Lecture 2: Array Similarities to Matrices

Lecture 3: Other Array Operations

Lecture 4: Exercise 5 – Arrays

Chapter 7: Lists

Lecture 1: List Introduction and Creation

Lecture 2: List Naming

Lecture 3: Selecting List Elements

Lecture 4: List Manipulation

Lecture 5: List Operations

Lecture 6: Exercise 6 – Lists

Chapter 8: Factors

Lecture 1: Factor Introduction and Creation

Lecture 2: Setting Factor Levels

Lecture 3: Ordering Factors

Lecture 4: Converting Factors

Lecture 5: Other Considerations

Lecture 6: Exercise 7 – Factors

Chapter 9: Loops

Lecture 1: Loop Introduction and Creation

Lecture 2: If-Else Statements

Lecture 3: For Loops

Lecture 4: While Loops

Lecture 5: Repeat Loops

Lecture 6: Loop Comparison

Lecture 7: Exercise 8 – Loops

Chapter 10: Functions

Lecture 1: Function Introduction and Creation

Lecture 2: Function Arguments

Lecture 3: Nested Functions

Lecture 4: Global vs. Local Variables

Lecture 5: Exercise 9 – Function

Chapter 11: Data Frames

Lecture 1: Dataframe Introduction and Creation

Lecture 2: Tidyverse

Lecture 3: Tibbles

Lecture 4: Tidy Data

Lecture 5: Dplyr and Data Transformation

Lecture 6: Summarizing Dataframes

Lecture 7: Exercise 10 – Dataframe

Chapter 12: Mini-project

Lecture 1: Introduction to Mini-Project

Lecture 2: Importing Data

Lecture 3: Comprehending the Dataset

Lecture 4: Tidying Data

Lecture 5: Grouping Time Series Analysis Data

Lecture 6: Data Visualization

Lecture 7: Statistical Analysis

Lecture 8: Exercise 11 Mini-project

Chapter 13: Course Wrap-up

Lecture 1: Great Job and Farewell!