Mastering R Programming (Apr 2023)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to R

Lecture 1: Lesson 1: Introduction to R

Lecture 2: Practice 1-1: Setting the R Programming Environment

Lecture 3: Practice 1-2: Installing the R-package

Lecture 4: Practice 1-3: Creating and Running the First R Script

Chapter 3: Variables and Data Types in R

Lecture 1: Lesson 2: Variables and Data Types in R

Lecture 2: Practice 2-1:Implementing user defined function by using modules and packages

Lecture 3: Practice 2-2: Working with Vector, List, Matrix, Array, Factor and Data Frame

Chapter 4: Operators, Decision Making Structures and Loops in R

Lecture 1: Lesson 3: Operators, Decision Making Structures and Loops in R

Lecture 2: Practice 3-1: Working with Various Operators in R

Lecture 3: Practice 3-2: Decision Statements in R

Lecture 4: Practice 3-3: Loop Statements in R

Chapter 5: Working with R functions

Lecture 1: Lesson 4: Working with R functions

Lecture 2: Practice 4-1: Create User Defined Function

Chapter 6: Import and Export Data from Datasources

Lecture 1: Lesson 5: Import and Export Data from Datasources

Lecture 2: Practice 5-1: Read and Write Data from and to CSV, Binary, XML & EXCEL

Lecture 3: Practice 5-2: Read data from JSON File

Lecture 4: Practice 5-3: Connect to MYSQL Database and Perform Database Operations

Chapter 7: Data Visualization using R

Lecture 1: Lesson 6: Data Visualization using R

Lecture 2: Practice 6-1: Plot different types of Charts

Chapter 8: Statistical Functions in R

Lecture 1: Lesson 7: Statistical Functions in R

Lecture 2: Practice 7-1: Creating Time Series Analysis with a Use Case

Lecture 3: Practice 7-2: Compute Mean, Median and Mode for a Vector

Lecture 4: Practice 7-3: Using Predict Function with Linear Regression

Lecture 5: Practice 7-4: Creating Binomial Distribution considering a sequence

Chapter 9: Machine Learning in R

Lecture 1: Lesson 8: Introduction to Machine Learning in R