R Training in Chennai

R Training in Chennai

Learn R Training in Chennai at FITA – No 1 R Training Institute in Chennai. Call 98404-11333 for more details.

R programming language is one the most powerful tool for computational statistics, visualization and data science. Data scientists and statisticians use R for solving many complex problems in their industry. R is extensively used in companies like Bing, Google, Facebook, Twitter, Uber, FDA, Ford and Lloyd’s. As R is used in various domains like Social media companies, Banks, Insurance companies, Car manufacturers like Ford, R is one of the most sought data analytics skill that is in high demand.

R Analytics course at FITA is aimed at mastering you in R programming language. As we, all know programming is one of the fundamentals required for developing any software or application. Moreover, its expansion is tremendous in the past few decades due to the instant changes in the IT sector. Thus, requirement for Software developers is keep on increasing amidst the organization.

Now, the toughest part is to get to know which programming language to learn for getting into a secured career. It is widely deployed in Machine Learning and data analysis due to its magnificent framework along with built-in libraries in order to develop effective algorithms. Thus, enroll yourself into R Programming Training in Chennai for detailed knowledge in this.

On the whole every programming language its own specialty and competency and the choice is completely dependent on the project you are working into. However, to be more precise, it is indeed necessary to select the correct language in order to enter the industry. As per a research conducted over the top languages of 2019, R Programming is the most chosen one as its usage is evident in almost all the sectors namely, bank, retail companies, financial firms along with IT sector.

Course objective

Understand programming fundamentals of R language
Understand and Master various data import methods in R
Understand and Master Data Manipulation in R
Create visualizations and Plots using R
Understand and Implement Linear Regression
Perform Text Analysis
Understand and Master Machine Learning concepts
Real-time implementation of R on a live project and provide Business Insights

Target audience

Professionals and Students looking to enter the Data Science industry

Course agenda

Professionals and Students looking to enter the Data Science industry

Understanding Business Analytics
Other Popular Business Analytics tools Vs R
R and it’s applicaitons

Getting Familiar with R Programming Environment

Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart

Various analytics tools

Descriptive
Predictive
Web Analytics
Google Analytics

Fundamentals of R

R and features
Evolution of R?
Big data Hadoop and R

Working with R & RStudio

R & R Studio Installation

Data Types

Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R

Importing Data

CSV files
Database data (Oracle 11g)
XML files
JSON files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R

Manipulating Data

Cbind, Rbind
Sorting
Aggregating
dplyr

Conditional Statements

If …else
For loop
While loop
Repeat loop

Functions

Apply()
sApply()
rApply()
tApply

Statistical Concepts

Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
Correlation
Covariance
Anova

Predictive Modelling

Linear Regression
Normal distribution
Density

Data Visualisation in R using GGPlot

Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps

Data Visulaization using Plotly

3D-view
Geo Maps

Misc. functions

Null Handling
Merge
Grep
Scan

Advance Topics in R

Text Mining
Exploratory Data Analysis
Machine Learning with R  (concept)

Live Project

Project 1 – Business insights: Real-time implementation of R on a live project and provide Business Insights
Project 2 – Twitter Sentiment Analysis: Fetch, extract and data mine real-time data from twitter and provide sentiment analysis

Looking for R Training in Chennai? Join FITA and Get Trained from the Data Science Experts! R Training Chennai at FITA is rated as the best by Professionals!

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R Interview Questions

R can be defined clearly with the process in which it is applied to arrive at the results. The process includes the program for the analysis of data, transforms the data with the help of the libraries, discovers result with the sequential analysis and by refining the hypothesis, model or the structure is designed with the tools in the R, and communicate with the codes, graphs and outputs to get the results.  HTML, PDF/Latex and word are used as documents and HTML and PDF beamer are used for the presentation.  Join the R Training in Chennai and hone the technical skills.

R programming has wide and monotonous learning curve as it is used in many types of industries.  Let us see the comprehensive view of the interview question and answer to help the students to through in the interview. Some interviews have aptitude round and some interview go directly with the technical round. Some job profiles demand for the interaction and coordination among the employees or clients. So, when preparing for the interview the English knowledge and the subject knowledge have to be fine-tuned with the constant reading and practice. R Programming Training in Chennai is designed from the scratch to make the students clear about all the basic topics and advanced topics.

  1. What are the similarities between R programming and Python?

R Programming language has model building which is similar to the python programming language, Python programming language has similar model building which is similar to R. Python is easier than R. model interpretability is good in R programming whereas it is not good in python. Data visualizations libraries and tools are good in R and it is not good in python programming. Production is good in python whereas production is not as good as in the R programming.

  1. What is data import in R language?

In the console the user will type the Rcmdr which is the command of the R commander GUI. The data can be imported in three ways, enter the name of the data set in the dialog box then select the dataset in the dialogue box, the editor of the R commander is used to enter the data and it is used in case of large data, plain text file (ASCII) are used to import the data from the URL, from the statistical package or from the clipboard.

  1. What are the ways to communicate the outputs of the data analysis in R language?

To do the research Knitr single document is used, it combines the data, code and analysis, it helps to check the findings and turn them in to conversations. To redo the experiments with the help of inserting the new data values and applying the real time problems to the data is done with the reproducible research. R Programming Training is conducted with industry experts and holistic environment to enhance the learning attitude of the students.

  1. List out the difference between library() and require() functions in R language?

If the package is not loaded then the library () function gives an error message and whether it is already loaded or not it loads the packages. Whenever a particular package is not found then require () function shows a warning message. It checks the previous loads and loads the function if it is not loaded. Both the types of function will not reload a package which is already loaded and this is designed to avoid the errors.

  1. Describe the R programming?

R programming is used for machine learning and deployment purposes. To develop the statistical software and conduct data analysis R programming is used in the software industry. R Training in Chennai is conducted with practicality and real time scenarios which make the subject interesting.

  1. Explain the way of writing R commands?

At the starting # is used in the line of code and #division commands are used in the R programming.

  1. Explain t-tests () in R?

T-tests is the function which is used to determine two groups are equal or not.

  1. List out some of the disadvantages of R programming?

Some of the disadvantages of R programming are standard GUI is missing in R programing, R programming is not suitable for big data, the spreadsheet view is not available for the analysis. R Training in Chennai is the best training for the students.

  1. What is the use of With () and By () function in R?

with() function applies an expression to a dataset.

  1. Explain the usage of with () and by () function in R?

In an R programming with function is used for an expression to a data set and By () function is a function applied to each level of a factors.

  1. How the missing values are used in the R programming?

The missing values are used in the R programming with NA and it is written in the capital letters.

  1. Describe the benefits of subset () and sample () function in R programming?

Sample function is used for creating a random sample size and with the sample size the data set is created. To select the variables and observations subset () is used in the R programming.

  1. Describe about transpose?

The t() function exercises the transpose function and it is for the reshaping of the data which is used for the analysis.

  1. List out the advantages of R programming?

R programming is used as free and open source software, runs on different types of operating system, runs on 32 and 64 bit processors, graphical capabilities of ‘R’ are good, no license restrictions, for managing the data and for manipulating the data R programming is used, and no license restrictions are used. R Training in Chennai imparts quality education to the students.

  1. Describe how to add datasets in R?

The function used for adding two data set is rbind () function and for using this function the column of two datasets must be the same. R Training in Chennai makes the students as industry ready in this highly competitive world.

R Job Openings

R Sample Resumes

R Industry Updates

Scope of R Programming

R Programming is of greater scope due to its demand in the market. These days job prospects are on an up drift and recruiters are looking for unique talent for the development of their business. Hence, taking up the R Programming Training in Chennai as a career will help you to fetch the desired job.

The various job sector, which you can try are:

  • Retail companies
  • Banks
  • Financial firms
  • IT sector

Top IT companies such as Accenture, TCS, and Wipro are among them who are in search of expertise in R. It is the most used analytical tool around the world. The top roles which you will come across once you set R Programming as your career:

  • Analyst managers
  • Business analyst
  • R data scientist

As of now, R Programming has an encouraging future in the competitive world.

R Tutorial

It is considered to be widely used by leading corporates such as Airbnb, Google and many other for the analysis of data by the data scientists. Its deployment can be witnessed in the field of statistical computing, scientific research along with data analytics.

R programming is well-known language that is made used by marketers and researchers for the cleaning, visualizing, retrieving along with the analysis of the data. Its popularity is due to the strong syntax along with simple interface. Robert Gentleman and Ross Ihaka formulated this language who’s first letter is kept as the language’s name.

Overview of R

This language enables the usage of functions along with looping and branching. The procedure for integration happens that are written .Net, C, Python or Fortran languages. It is possible to operate over Windows, Linux and Mac.

Progression of R

As every other programming language prevailing around the world, R programming has also undergone numerous changes. It came into existence in the year 1993 and during the mid of 1997 a team called “R Core Team” modified the source code of R language.

Characteristics of R

  • As this language consists of conditionals, user defined functions, loops, it is considered to be complex free.
  • It is good at both storage and data handling.
  • For making the process of data analysis filled with graphical facilities along with presenting it over computer or even on papers.
  • This language is best in performing operation such as arrays, vector and also matrices.

Data Types

There are variety of data types present in the R language such as wide character, double floating point, integer, Boolean, floating point and many other. In general, it is very crucial to store data for its usage in future. In other words, it is necessary to free up some space when any variable is created.

For every process, operating system assigns memory as per the data type used. When R programming is compared with other languages such as Java and C, there is presence of declared variables in other programming languages.  The most commonly used R-objects are:

  • Matrices
  • Factors
  • Vectors
  • Arrays
  • Lists
  • Data frames

R-Variables

This is deployed for providing the user with storage in which programs can be manipulated. It is able to store the atomic vector, combination of Robjects along with group of atomic vectors. A proper variable includes letters, underline characters, dot or number.

R-Operators

It is considered to be compiler in order to accomplish certain logical as well as mathematical manipulations.

Types of operators

We have the following types of operators in R programming −

  • Miscellaneous Operators- %in%, %*%
  • Logical Operators- &, |, !
  • Assignment Operators- <−, <<−
  • Arithmetic Operators- +,-, *, /, %%, %/%, ^
  • Relational Operators- >, <, ==, <=, >=, !=

R-Decision making

In this the programmer’s instruction play a vital role for both evaluation and testing of them. This happens with any statement that is executed in any program.

R- Loops

At times, it is necessary to run several code for many times. In such case, the execution of statements happen in an orderly manner where execution of first statement is given priority.

R-Functions

It is considered to be nothing more than set of statements that are arranged together in order to perform any particular task.  In this, function acts as an object in the interpretation in order to control the function.

Function components

The components of a function consist of:

Arguments- This is considered to be the placeholder. Arguments are optional and this may have no arguments present in it.

Return value- It acts as last expression for the evaluation.

Function name- This is the real name of function.

Function body- It includes cluster of statements, which defines the action of the function.

R-Strings

In R programming the value written under single or double quotes acts as string. Even though the user creates it with single quote, in R programming every string is stored in double quotes.

R-Vectors

Vector is considered to be the basic data objects which are categorized into six- integer, character, double, logical, raw, and complex.

R-Lists

This consist of various elements such as string, number and vector within it.

R-Matrices

These are the objects that arrange elements into 2-D rectangular layout. Matrices that consist of numeric elements are used in order to perform mathematical calculations.

R-Arrays

They are deployed for the storage of more than 2-D objects.

R-Factors

This data object is deployed for the categorization of data along with its storage that can be either integer or string.

R-Data frames

This is 2-D array  that consist of one variable along with set of values.

Below are the features of a data frame.

  • names of the row must be unique.
  • data stored in data frame may be numeric,  factor or character type.
  • column names should not be empty.
  • Every column must have same count of data items.

R-packages

It is a set of functions, sampled data along with compiled data that are stored in a directory. It is possible to add on more packages when necessary in the future.

R-data reshaping

It is the way of changing the organization of data within column and row. The process is accomplished by fetching the information as data frame. R programming includes various split functions along with merging and interchanging of rows and columns in any data frame.

R-CSV files

It is possible to gather information from the files that are stored outside R environment along with writing of data into files such as csv, xml and many more that can be stocked along with accessing by operating system. R programming will be able to read the files that are under the directory that the user is currently working into.

R-Excel

This spreadsheet is widely in usage by many of the user’s that helps in storing various files such as .xlsx and even .xls format.

With the help of R the user is able to write anything into the excel file.

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