Best R Programming Course

R Programming Module 1: Basic Introduction

• Introduction to R language
• Overview - Evolution & Features
• Installation & Environment Setup
• Interpretation & Execution of R Code

R Programming Module 2: Basics Of R Programming

• Variables & Data Types
• Various Operators like Arithmetic, Relational, Logical, Assignment
• Decision Making Statements
• Loops including control statements
• Manipulating and formatting strings
• Using nchar(), toupper(), tolower(), substring() functions on strings
• User defined functions: Invoking functions with and without passing parameter

R Programming Module 3: Data Types & Data Structures In R

• Creating and manipulating basic data structures: Vector, Factor, List, Dataframe , Matrices , Arrays
• Generating factor levels and changing their orders
• Using c() and seq() function
• Data Reshaping: split, merge and change the rows to columns and vice-versa in a data frame
• Installing and loading required packages

R Programming Module 4: Data Import & Export

• Working with xlsx package and reading an excel file
• Reading, Analyzing and writing into a CSV file
• Writing and reading a binary file
• Creating and reading a XML file, dealing with the nodes of XML file, converting XML data to a dataframe
• Using rjson package for creating and reading a JSON file, converting JSON data to a dataframe
• Scrapping Web data using RCurl, XML and stringr packages
• Connecting R to database system using RMySQL

R Programming Module 5: Creating Charts & Graphs

• Line Graphs
• Pie Charts
• Simple Bar Plot: Visualizing categorical data
• Staked Bar Plot: Understating category composition
• Grouped Bar Plot
• Histograms: Visualizing frequencies of values in ranges
• Boxplots: Understanding data distributions
• Scatterplots

R Programming Module 6: Statistical Computing

• Finding mean, median & mode of data in a vector
• Establishing relationship model between two variables using linear regression
• Using party() to create Decision Tree to represent choices and their results in form of a tree
• Creating and analyzing Random Forest
• Using Survival Analysis for predicting an occurrence of an event
• Using Chi Square tests to determine correlation between categorical variables