### Why R Training?

It is always recommended that you start learning one language along with learning data science. R is always the best first data science programming language. Firstly, it is widely used and is very popular with over 2 million users worldwide. It is estimated that every year the number of R users grow by over 40 per cent. R is used in many companies that hire data scientists. It is used extensively in tech companies like Facebook and Microsoft. Other companies that use R for data science are Bank of America, Uber, TechCrunch, Ford, etc. R as a programming language is also popular among academicians and scientists.

**Learn R programming** language possesses significant capabilities in areas such as data visualization, data manipulation and machine learning. R is an easy language to learn. These are reasons enough to learn R programming language.

### Eligibility

The eligibility criteria for someone that wants to learn R programming are as follows:

Students who need to learn ‘R Programming’ as part of their course
Web developers who want to incorporate data analysis features in their web pages
Anyone that is interested in data science and statistics
Data analysis researchers
Data Analytics professionals or those working in related fields
### Detailed Course Curriculum

R is a suite of software programs that allow data manipulation, calculations and graphical displays.

It contains data handling and storage facilities
It contains operators to perform calculations on matrices/arrays
It contains tools for data analysis
Graphical tools for data analysis with on-screen display or as print copies
A simple programming language that includes loops, condition statements, recursive functions that can be defined by the user and input and output facilities.
### Introduction to R

### Section 1: Introduction to R Basics

How it works
R Arithmetic
Assignment of variables
Assignment of variables – 2
Assignment of variables – 3
Basic data types in R
Section 2: Vectors
Creating a vector
Creating a vector – 2
Naming a Vector
Naming a vector -2
Calculating totals
Comparing Totals
Vector Selection – 1
Vector Selection – 2
Vector Selection – 3
Vector Selection – 4
Selection By comparison
Advanced Selection
### Section 3: Matrices

What is a matrix
Analysis of matrices
Naming Matrices
Adding columns
Adding rows
Selection of elements
Arithmetic with matrices – 1
Arithmetic with matrices – 2
### Section 4: Factors

What is a factor
Why you should use factors
Factor Levels
Summarizing factors
Ordered Factors
Comparing factors
### Section 5: Data Frames

What is a data frame
Data Sets
Structures
Creating a Data Frame
Selection of elements in a data frame
Sorting
Sorting a data frame
### Section 6: Lists

Why you need lists
Creating a list
Creating a named list
Selecting elements from lists
Adding more information to a list
### Intermediate R

### Section 1: Conditions and Flow of Control

Relational operators
Equality, Greater than, and Less than operators
Compare vectors
Compare Matrices
Logical operators
& and I
Reverse the result – ! operator
Conditional statements
If statement
If-else Statement
### Section 2: Loops

While loop
How to write a while loop
More conditions
Break from the while loop
Build a whole new while loop
For Loop
Loop over a vector
Loop over a list
Loop over a matrix
Mix with flow of control
Break the for loop
### Section 3: Functions

Introduction to functions
Documentation of functions
How to use a function
Function Inside a function
Writing functions
Create your own functions
Passing arguments by value
R Packages
Different methods of loading packages
### Section 4: Apply Family

Iapply
Iapply with inbuilt R function
Iapply with own function
Iapply with anonymous functions
Iapply with additional arguments
Apply functions which return NULL
sapply
How to use sapply
sapply with own function
sapply with function that returns vector
sapply with function that returns NULL
vapply
How to use vapply
sapply to vapply
### Section 5: Utilities

Functions that are useful
Mathematical utilities
Data Utilities
Regular expressions
Error finding
grepl & grep
Regular expressions
sub & gsub
Date and time
Right here, right now
Create, format dates
Create, format times
Calculations with dates and times
### Other major topics:

Data Scientist with R
Quantitative Analyst with R
Data Visualization with R
Importing Data and cleaning it with R
### Job Opportunities

The following are some of the job openings for those proficient in R programming:

Data Scientist
Language Data Specialist
Quantitative R Developer
Natural Language Processing
Machine Learning Using R Instructor Specialist
Senior Applied Scientist
Researcher
### Employer Expectations

Once you have completed R training, employers expect you to be good at deriving insights and statistical computation from volumes of data. Remember that age does not play a role here. It is only the skills that have been learnt that matter.

### When companies are hiring R trained candidates, they are expected to have:

Strong problem-solving skills
Good Verbal and written communication skills
Knowledge of statistics/economics
Strong attention to detail
Proficiency in R Programming
Statistical clarity and some amount of interest in predictive techniques (regression, Bayesian methods, etc.)
Structured thinking
### Course Objectives

The R programming course is designed with the following objectives in mind:

The course is based on real-world problems so that the student can apply quickly whatever he/she has learned. The course also enables the student to hone the new skills that they have picked up. ** R Programming Training in Chennai ** helps to improve knowledge and skills in data visualization, statistics, data manipulation and machine learning.

### R Training Center in Chennai Venue:

Are you located in any of these areas – Adyar, Ambattur, Aminjikarai, Adambakkam, Anna Nagar, Anna Salai, Ashok Nagar, Besant Nagar, Choolaimedu, Chromepet, Egmore, Ekkattuthangal, Guindy, K.K.Nagar, Kilpauk, Kodambakkam, Madipakkam, Medavakkam, Mylapore, Nandanam, Nanganallur, Nungambakkam, OMR, Pallikaranai, Perungudi, Porur, Saidapet, Sholinganallur, St. Thomas Mount, T. Nagar, Tambaram, Teynampet, Thiruvanmiyur, Thoraipakkam,Vadapalani, Velachery, Villivakkam, Virugambakkam and West Mambalam.

Our T Nagar or Velachery office is just few kilometre away from your location. If you need the best R Training in Chennai, driving couple of extra kilometres is worth it!

### Happy Graduates

Fita is very good institute with excellent teacher. Even u don't have basic knowledge they will teach well and make u understand . They available 24/7 to clear ur dough. It's really good institute for the students to gain the knowledge.

umamaheswarrao rawada

Execellent class rooms good environment nd correct place to improve your technological skills

Sowndharya
Ramaesh

best training centre to improve your programming skills. i had improved myself a lot by joining hear

Kalyan Srinivas