Data Science, as most of you know, is an interdisciplinary field of scientific methods used to extract insight from data in various forms, either structured or unstructured. R is a powerful language that is used widely for data analysis and statistical computing. Initially it was a rudimentary text editor but now it has become an important language in the data science family. R has many powerful packages like dplyr, tidyr, readr, datatable, SparkR, which have made data manipulation, visualization and computation much faster.
Data Science R courses are given preference because firstly the style of coding with R is easy, secondly, it’s an open source requiring no subscription charges, thirdly, the community support and forums are overwhelming and finally, it is a highly sought skill by analytics and data science companies.
In the world of Data Science and Big Data Analysis, R is often the chosen tool because it is data analysis software, an object oriented programming language and finally it provides an environment for statistical analysis. R has users across public and private sectors. Its use is varied and has built inroads into social networking mediums like Facebook, financial institutions like Bank of America and also media outlets like New York Times. Apart from these there are many other notable users.
Data Science R courses are readily available both offline and online. There is a plethora of options available for an aspirant. That is precisely why you need to choose wisely. Choose courses that provide you with ample practical training and adequate theoretical depth. It should introduce you to real time industry specific problems and focus upon skill development above all things.
Online R courses help you to learn from the comfort of your house and at your own free time. Also, you get to interact with industry insiders and get a better view of working with R in real life. The case studies help in harnessing your skill.
If you have a knowhow of R related tools and techniques, then there will be no dearth of employment. Some of the career paths that you may opt for are
Data management Professional-
Someone who manages the data and the related infrastructure.
You can be a Data Engineer provided you have the other requisite skills.
You can also opt to become a Business analyst – the role is strictly regulated to analysis and presentation of data including reporting, dashboard and business intelligence
Being a Machine Learning Researcher tops it all – They craft and use the predictive and correlative tools to leverage data
Career in data science is relatively new but it is booming with newer and fresher opportunities. The latest market prediction is that by 2018, there will be more than 1.5 million more jobs than skilled data scientist availability. By becoming an R practitioner you can land jobs in industry, academia or government or any other sector of your liking. So, hurry up and get yourself enrolled in a Data Science R course, and climb the ranks in your job.