R Programming Easy As ABC: For The Beginner Data Scientist

Course Curriculum

Chapter 1: What is R?

Lecture 1: Let's Have Some Fun

Chapter 2: Installing R

Lecture 1: Install R Base

Lecture 2: Install R Studio

Lecture 3: Opening R for the First Time

Lecture 4: R Layout

Chapter 3: Installing Packages

Lecture 1: Library and Packages

Lecture 2: Install and Activate tidyverse Package

Lecture 3: R for Data Science

Lecture 4: How To Get Help

Lecture 5: Helpful Tips and Tricks

Chapter 4: Data Types and Data Structures

Lecture 1: Introduction Data Types

Lecture 2: Data Types

Lecture 3: Introduction Data Structures

Chapter 5: Data Structure: Vector

Lecture 1: Introduction Vectors

Lecture 2: Vector and Data Types: Implicit Coercion

Lecture 3: Hands On Practice: Linear Model

Lecture 4: Vector and Explicit Coercion

Lecture 5: Vectors and Characters

Lecture 6: Vectors and Strings

Lecture 7: Vectors and Numbers

Lecture 8: Vectors and Logical Data Types

Lecture 9: Vectorization and Vector Recycling

Lecture 10: Vectors and Subsetting

Chapter 6: Data Structure: Matrix

Lecture 1: Introduction Matrix

Lecture 2: Matrix Function

Lecture 3: Matrix cbind and rbind

Lecture 4: Matrix and Subsetting

Chapter 7: Data Structures: List and Array

Lecture 1: Introduction List

Lecture 2: List

Lecture 3: Array

Chapter 8: Data Structure: Dataframe

Lecture 1: Introduction Dataframe

Lecture 2: Import External Dataset

Lecture 3: Create Dataframe In R Using Function

Lecture 4: R Built-In Datasets

Lecture 5: Dataframe and Subsetting

Chapter 9: Data Preparation and Data Exploration Analysis

Lecture 1: Data Preparation

Lecture 2: Hands On Data Preparation

Lecture 3: Data Exploration Analysis

Chapter 10: Data Manipulation

Lecture 1: dplyr Data Manipulation functions

Lecture 2: Group By and Summarize

Lecture 3: Hands On Data Manipulation

Chapter 11: Functions

Lecture 1: Built In Functions

Lecture 2: User Defined Functions (UDF)

Chapter 12: Loops

Lecture 1: For Loop

Lecture 2: While Loop

Lecture 3: Repeat Loop

Lecture 4: Loops vs Vectorization

Chapter 13: If Then Conditional Statements

Lecture 1: IF Statements

Lecture 2: IF ELSE Statements

Lecture 3: IF ELSE IF Statements

Lecture 4: ifelse function in R

Chapter 14: Data Visualization: ggplot2 package

Lecture 1: Introduction ggplot

Lecture 2: Basic Graph (Data, Aes, Geom)

Lecture 3: Stat

Lecture 4: ggplot Categorical vs Continuous Data

Lecture 5: Grammar of Graphics

Chapter 15: CONCLUSION

Lecture 1: BONUS Hands On: gganimate package

Lecture 2: Thank You