Benefits of R Programming For Data Science?

R programming as an essential programming language- R is a very important language for many Data scientist who have to analyse the data. Many important books regarding the statistical analysis are written in R language. R is very important for Data Science as it is the first step of the data science. It is the open source of language for the platforms like LINUX, WINDOWS and MAC.

Machine learning –To analyse the data in data science stream, one have to write a new algorithm which help in prediction of the data. To write an algorithm one should know the language R. R makes the machine learning for data science field. It is the most easy and simple way of writing an algorithm.

Systematic Presentation- R has some ultimate tools which help in better visualizing the data. Creating graphs, bar charts, lattice charts, multi panel lattice charts, scatter plots can easily designed for interpreting the data in data science with R programming.

Data Wrangling- Data wrangling is a process of setting unstructured data into structured data and also complex data into simpler data in data science. With the help of R Data wrangling will be easier as it has several functionalities to analyse the data using modern statistic techniques. dplyr, ggplot2, readr and the examples of data wrangling concept.

Specific in Nature – R is designed specially for statistical analysis and data reconfiguration. The main objective of the R is to analyse the data to easier and more approachable format. The speciality of the R had enabled to form a large community who use R for data analysis in data science.

Consistent online support – R for data science will provide quick and consistent online support. R language is most sophisticated statistical software for data science. R language is quite easy and simpler that few basics of R can make the person to analyse the data very easily.

Careers with R for data science?

A person who enter into a data science field with R language will be paid in many industries like IT Firms, Financial Firms, Retail Organization, Banks, and Health Organization.

The Job roles included for a person R language and data science are-

• Data analyst – combining the technical and analytical knowledge with ingenuity is the job role of a data analyst. A Data analyst have to collect the data process the data and perform the statistical analysis in an organisation
• Data Architect – Maintaining the blue prints of the data where one has to integrate and maintain the data of the organisation. The role is to create the blueprint and also the data modelling of the database.
• The Database Administrator- Accessing various kinds of database with the help of R language in an organisation. A Database Administrator have to access every data from the organisation and maintain them in an systematic order for better administration.