Data Analytics power pack using R programming

Introducing the programming language "R" used in statistics and Data analysis. Along with Python, the R language is a language used in the fields of machine learning and Data mining.

In this article, you will understand the features and merits of the R language, job offers, and annual income. If you read it to the end, you will have a deeper understanding of the R language.

Features of R language

The R language is strongly influenced by the S language of statistical analysis, which is the base, and the Scheme of the Data processing part, but it also has very unique characteristics, so let's take a look.

Vector processing

In the R language, vector processing can be described flexibly and simply. A vector has a slightly different meaning from a vector in mathematics and is sensuously close to a list.

Of course, mathematical vectors can be included in this vector, but not only that but also sets and time series to Data frames with complex Data can be put into variables without any special declaration.

You can also nest vector elements in different tables or arrays. This allows you to manage even complex Data structures.

Analysis environment suitable for statistics

The R language was developed as a language for statistical analysis. Therefore, it is outstandingly excellent in statistical analysis and Data analysis. Since it is OSS (open-source software), anyone can install and use it for free.

Research results such as cutting-edge technologies and algorithms are often published in libraries called packages. One of the major features of the R language is that it has a function to analyze Data from the beginning without any effort.

Graph function with excellent visualization

In the R language, you can draw a line graph just by substituting appropriate values for x and y and making a plot (x, y) like Gnuplot of the graph drawing application. In other words, it is easy to handle programming languages as if they were dedicated applications.

There are various graph drawing packages in the R language, and you can easily create complicated graphs by using such packages.

Data compatibility

You can easily read the Data from an external stats app. For example, it is convenient because there are functions that can read various text files as well as CSV format files that are also used in Excel.

Furthermore, since binary Data can be handled directly, it is also possible to read and process images. It can also directly handle IBM statistical analysis packages SPSS and SAS original binaries.

CRAN network

CRAN is an abbreviation of "Comprehensive R language archive network" and refers to a site where you can download various packages in addition to the R language itself.

Can be used from educational sites to practical / research sites

When using various software as well as languages in the educational field, the cost of purchasing and updating is a bottleneck.

In addition, the R language is open source, constantly undergoing new development, and is widely used in practice as a professional tool. Since it has become a common tool in all education, research, and practice, it can be said that the skills acquired in education can be used immediately in practice using the R language.

Please fill enquiry form to get curriculm, more details please contact +91-9945339324

No, you do not require any experience to start this program. But we expect that you should know basic usages of compute system.
No, you do not required any experience to start this program. But we expect that you should know basic usages of compute system.
Minimum educational qualification required is graduation. Most preferred is Science graducation such as BE/Btech, BSC, BBA, BCOM and others.
Yes, we provide interview calls to all our candidates who complete their training program. These interviews are arranged by us based on Alumni references and our corporate engagement.
Your relationship manager will get in touch with you to complete your training program. They will extend the training duration if needed.
No, you can not transfer your enrollment.

Mythri Gowda

I had a very good experience with the Nikhil Analytics Team. I had joined for Data Analytics course in which Advanced Excel, SQL, Tableau and Python were very well taught with the hands on sessions. Through their placement assistance I was able to get a job as an Analyst in a good MNC company with a decent package as a fresher. Thankful for the NAT team.

Chinmayee Panda

I have had a great learning experience with Nikhil Analytics. I joined to learn Tableau, SQL, python, advanced excel and machine learning And all these concepts were well taught to me from scratch. Even I was able to crack a job because of this. It's a great place to learn and develop analytical skills.


I joined Nikhil Analytics last year, to change my career path, and had an overall amazing experience. The teaching is much better than college teaching. If you are willing to learn the teachers will help you in every way to grasp the concept, and they made us practice using real world Data which is very important.

Akash Kumar

Had a great experience by doing course at Nikhil Analytics. After having 6.5 years of experience I had a doubt in mind that will I be able to do course and switch my job. But joining Nikhil Analytics was the best decision I took. Here course is designed in an organized way and in online sessions also the faculty teaches in such a way that full course become easy to understand and all the doubts are cleared. Assignments, Tests and project help to understand the concept in a better way. Mock Interview help us alot to get prepared for the interview. Thank you Nikhil Analytics, specially Alok Sir and Dyuti Ma'am.

Other courses

  • Data Analytics
  • Data Science Modeling
  • Machine Learning
  • Business Analytics
  • Digital Marketing
Institute Nikhil Analytics
Contact no +91-9945339324
Course Data Analytics Power Pack using R Programming