R PROGRAMMING ONLINE TRAINING COURSE

KITS Online Training Institute provides best R Programming Online Training Course by our highly professional certified trainers. R is a programming language and software environment for statistical analysis, graphics representation and reporting. This course is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this course will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise. We are delighted to be one of the best leading IT online training with best experienced IT professionals and skilled resources. We have been offering courses to consultants, companies so that they can meet all the challenges in their respective technologies. we also provide other related courses.

R Programming Online Training Course Content

Overview Of R Programming

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Introduction to R Programming

  • What is R Programming?
  • Why R Programming?
  • Installing R Programming
  • R environment
  • How to get help in R
  • R console and Editor

Understanding R data structure

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind,Rbind, attach and detach functions in R
  • Factors

Importing data

  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Importing data from SAS
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing to files

Manipulating Data

  • Selecting rows/observations
  • Selecting columns/fields
  • Merging data
  • Relabelling the column names
  • Converting variable types
  • Data sorting
  • Data aggregation

Using functions in R

  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User defined functions
  • local and global variable

R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

Charts and Plots

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs

Highlights of R Programming Online training:-

*  Very in depth course material with Real Time Scenarios for each topic with its Solutions for R Programming Online Trainings.

*  We Also provide Case studies  for R Programming Online Training.

*  We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts.

*  We provide you with your recorded session for further Reference.

* We also provide Normal Track, Fast Track and Weekend Batches also for R Programming Online Training.

* We also provide Cost Effective and Flexible Payment Schemes.

What is R?

  • R is a language and environment for statistical computing and graphics
  • R is based on the S language originally developed by John Chambers and colleagues at AT&T Bell Labs in the late 1970s and early 1980s
  • R (sometimes called “GNU S” ) is free open source software licensed under the GNU general public license (GPL 2)
  • R development was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand
  • R is formally known as The R Project for Statistical Computing www.r-project.org

 R environment

R is an integrated suite of software facilities for data manipulation, calculation and graphical display. Among other things it has

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either directly at the computer or on hard-copy, and
  • a well developed, simple and effective programming language (called ‘S’) which includes conditionals, loops, user defined recursive functions and input and output facilities. (Indeed most of the system supplied functions are themselves written in the S language.)

The term “environment” is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data analysis software.

R is very much a vehicle for newly developing methods of interactive data analysis. It has developed rapidly, and has been extended by a large collection of packages. However, most programs written in R are essentially ephemeral, written for a single piece of data analysis.

R and the window system

The most convenient way to use R is at a graphics workstation running a windowing system. This guide is aimed at users who have this facility. In particular we will occasionally refer to the use of R on an X window system although the vast bulk of what is said applies generally to any implementation of the R environment.

Most users will find it necessary to interact directly with the operating system on their computer from time to time. In this guide, we mainly discuss interaction with the operating system on UNIX machines. If you are running R under Windows or macOS you will need to make some small adjustments.

Setting up a workstation to take full advantage of the customizable features of R is a straight-forward if somewhat tedious procedure, and will not be considered further here. Users in diffi-cul

Getting help with functions and features

R has an inbuilt help facility similar to the man facility of UNIX. To get more information on any specific named function, for example solve, the command is

> help(solve)

An alternative is

> ?solve

For a feature specified by special characters, the argument must be enclosed in double or single quotes, making it a “character string”: This is also necessary for a few words with syntactic meaning including if, for and function.

> help(“[[“)

Either form of quote mark may be used to escape the other, as in the string “It’s important”. Our convention is to use double quote marks for preference.

On most R installations help is available in HTML format by running

> help.start()

which will launch a Web browser that allows the help pages to be browsed with hyperlinks. On UNIX, subsequent help requests are sent to the HTML-based help system. The ‘Search Engine and Keywords’ link in the page loaded by help.start() is particularly useful as it is contains a high-level concept list which searches though available functions. It can be a great way to get your bearings quickly and to understand the breadth of what R has to offer.

The help.search command (alternatively ??) allows searching for help in various ways. ty should seek local expert help.

What you will learn in this R Programming Training?

  • Learn Data Science concepts of R and functioning of R-Calculator
  • Understand various functions like Stack, Merge and Strsplit
  • Learn to create Pie charts, plots and vectors
  • Understand database connectivity
  • Deploy R programming for Hadoop applications

Who should take this R Data Scientist Training Course?

  • Software engineers and data analysts
  • SAS developers wanting to learn open source technology
  • Those aspiring for a career in data science

What are the prerequisites for learning R programming?

We don’t expect any prior knowledge from your side while designing this course. A basic knowledge of programming language can be helpful.

Scheduling Demo With Trainer:

If you would like to take the online demo for R Programming trainer can you please make an inquiry or fill the form for demo registration, one of our executives will arrange a meeting with the expert trainer.

Course Finished Certificate :

After finish, the course we provide R Programming course finished certificate of kits technologies looks like

datastage online training

 

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