R For Beginners

R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team.


R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac.


This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S.

  • 32 Hours
  • 250
  • Basic to Advanced
Interested in this course?
Instructor Led
10,000
Online
10,000

Quick Stats

“Generally, we use R to move fast when we get a new data set,” says Solomon Messing, data scientist at Facebook. “With R, we don’t need to develop custom tools or write a bunch of code. Instead, we can just go about cleaning and exploring the data.”

“R can do literally everything, and all new research is done in R. So especially for businesses that really want to out-compete their competitors on the basis of advanced analytics, they can get access to everything they need within R, things that might not come for five or 10 years through commercial software.”

Benefits

Practical Hands-On

Practical hands-on training on R language application programming.

Real Life Case Studies

Live projects with real-time scenarios and examples that involves data analytics platform/framework.

Practical Assignments

Practical assignments after every class.

Who Should Attend

  • Software Developers/Professionals
  • Analytics Professionals
  • Managers
  • Decision Makers
  • Technical Infrastructure Teams
  • Senior IT Professionals
  • Testing Professionals
  • Freshers

Course Outcome

  • Understanding of R Data Structures.
  • Understanding loops and decision statements in R.
  • Understanding of Vectors and Matrices in R.
  • Understanding of Arrays and Factors in R.
  • Understanding of DataFrames in R.
  • Understanding of Data Reshaping in R.
  • Understanding of Charts and Graphs in R.
  • Understanding of Regression, Distribution and Covarience in R.

Curriculum

Instructors

  • Gaurav Bansal

    Big Data and Machine Learning Consultant

    Gaurav is Big Data and Machine Learning Consultant and he has worked with multi national companies such as HCL Technologies, Samsung Research n' Development and Fidelity Investment Solutions in the past 10 years and has been working in Analytics industry since the beginning of his career.

    He has worked for international markets as an expert in Business Intelligence, Data Analytics, ....
    Gaurav is Big Data and Machine Learning Consultant and he has worked with multi national companies such as HCL Technologies, Samsung Research n' Development and Fidelity Investment Solutions in the past 10 years and has been working in Analytics industry since the beginning of his career.

    He has worked for international markets as an expert in Business Intelligence, Data Analytics, Machine and Deep Learning.

    He has worked extensively on Big Data technologies such as Apache Hadoop, Amazon Web Services, Apache Spark, Apache Flink, Apache Beam and Google Cloud Platform. He possesses good knowledge on programming languages such as Python, R and Scala. Read Less
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FAQS

Who are the Instructors?

All the instructors have a minimum of 10 years of experience in IT industries and are subject matter experts.

Can I attend a demo session before enrollment?

Yes, you can attend a demo session in any ongoing batch.

What if I miss classes?

You may choose either of the below options:

You may view the recorded session available at our management system.  You may attend the missed session in other ongoing batch.