Data Analytics using R programming

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Prerequisites

Chapter 2: Data Analytics

Lecture 1: What is Data

Lecture 2: Importance of Data

Lecture 3: Type of Data – Categorical

Lecture 4: Type of Data – Numerical

Lecture 5: Analytics and Analysis

Lecture 6: Data Analytics

Lecture 7: Data Analysis

Lecture 8: Classification of Data Analytics

Lecture 9: Process

Chapter 3: Intro to R and R studio

Lecture 1: Introduction to R

Lecture 2: Benefits of R

Chapter 4: R and R studio installation in Ubuntu

Lecture 1: install R in Ubuntu GUI

Lecture 2: install R in Ubuntu terminal

Lecture 3: R studio GUI overview

Lecture 4: How to create and run R file in GUI

Lecture 5: How to save and run R file in Terminal

Lecture 6: Rdata and Rhistory

Chapter 5: R programming Basics

Lecture 1: Variable in R

Lecture 2: DataTypes in R

Lecture 3: Print vs Cat function in R

Lecture 4: ls,rm function in R

Lecture 5: Rules to create variable in R

Lecture 6: Special keywords in R

Lecture 7: Different datatypes in R

Lecture 8: Vectorization in R

Lecture 9: Implicit Cohesion

Lecture 10: ls function in detail

Chapter 6: Operators in R

Lecture 1: Operators in R

Lecture 2: Arithmetic Operators

Lecture 3: Relational Operators

Lecture 4: Logical Operators

Lecture 5: Miscellaneous Operators

Lecture 6: R basics summary

Chapter 7: Control structures in R

Lecture 1: Conditional statement – if, else, else if

Lecture 2: Conditional statement – switch

Lecture 3: Lab exercise

Chapter 8: Looping Statement in R

Lecture 1: For

Lecture 2: While

Lecture 3: Repeat

Chapter 9: String Handling in R

Lecture 1: getting user input and explicit cohersion

Lecture 2: getting user input part 2

Lecture 3: logical check for string – grepl and grep

Lecture 4: print vs cat vs paste method

Lecture 5: String methods – toupper, tolower, substr, format

Chapter 10: Vector operation in R

Lecture 1: Indexing in vector

Lecture 2: Indexing in vector – part 2

Lecture 3: Built-in operation in R

Lecture 4: Repeat operation in R

Lecture 5: Lab exercise

Lecture 6: Lab solution – part 1

Lecture 7: Lab solution – part 2

Chapter 11: Functions in R

Lecture 1: Intro to Function in R

Lecture 2: Built-in function – seq, seq_along

Lecture 3: Built-in function – seq_len

Lecture 4: Built-in function rnorm

Lecture 5: law of large number

Lecture 6: Built-in function rnorm – part 2

Lecture 7: Built-in function – runif

Lecture 8: Built-in function – sample

Lecture 9: Lab exercise

Lecture 10: Lab solution – part 1

Lecture 11: Lab solution – part 2

Lecture 12: Lab solution – part 3

Chapter 12: User defined function in R

Lecture 1: User defined function – part 1

Lecture 2: User defined function – part 2

Lecture 3: User defined function – part 3

Lecture 4: User defined function – part 4

Lecture 5: User defined function – part 5

Lecture 6: User defined function – part 6

Lecture 7: User defined function – part 7

Lecture 8: User defined function – part 8

Lecture 9: Lab exercise

Chapter 13: Vectorization in R

Lecture 1: Vectorized Approach

Lecture 2: Vectorized Function

Chapter 14: Data Structure in R

Lecture 1: Introduction to Data Structure

Lecture 2: List – Part 1

Lecture 3: List – Part 2

Lecture 4: List summary

Lecture 5: Manipulating List

Lecture 6: Converting List to Vector

Lecture 7: Matrix – Part 1

Lecture 8: Matrix – Part 2

Lecture 9: Matrix – Part 3

Lecture 10: Matrix – Part 4