Software Programming & Development

R Programming Course Syllabus

~ R Language

~ Introduction to R language

~ Overview - Evolution & Features

~ Installation & Environment Setup

~ Interpretation & Execution of R Code

~ 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

~ 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

~ 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

~ 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

~ 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

R Programming Course Fees

Course Duration	Course Fees	Fees (US $)
30 sessions of 1 hr. each	10,500/-	$ 300
*The above program assumes you know the basics of "C" Programming, if not an additional of Rs 3,500/- (10 hours) would be Charged for the Basics of Programming Course