•  Introduction To R Programming

•  Installing R And R Studio

•  Basic Syntax

•  Data Types And Variables

•  Taking Input

•  Loops And Conditional Statements

•  Using Next And Repeat

•  R Vectors

•  Matrix

•  List In R

•  Data Frame

•  Factors

•  Arrays

•  Functional Programming With R

•  Return Multiple Values

•  Environment And Scope

•  Recursion

•  Infix Operator And Switch

•  Object And Class

•  R S3 Class

•  R S4 Class

•  R Reference Class

•  R Inheritance

•  Apply() – Alternatives Of For Loop

•  Lapply()

•  Sapply()

•  Vapply()

•  Mapply()

•  Rapply()

•  Tapply()

•  Basic Graphs

•  Bar Plot And Histograms

•  Pie Chart

•  Box Plot

•  Saving Plot

•  Treating Missing Values

•  Working With Categorical And Continuous Data

•  Feature Engineering

•  Techniques Of Outlier Detection And Treatment

•  Label Encoding / One Hot Encoding

•  Introduction To Dplyr

•  Filter, Select, Mutate, Summarize And Distinct

•  Introduction To Ggplot2

•  Grammar Of Graphics

•  Ggplot2 Vs Basegraphics

•  Aesthetic Mapping

•  Geometric Object

•  Plotting Histograms, Barplots, Frequency Polygons With Ggplot2

•  Introduction To Ggrepel

•  Set Theme In Ggplot

•  Faceting

•  Introduction To Tidyr

•  Web Scrapping With Rvest Module

•  Reshape2

•  Plotly

•  Linear Regression

•  Logistic Regression

•  Decision Tree

•  Clustering

•  Apriori

•  Eclat

•  Upper Confidence Bound (UCB)

•  Thompson Sampling