As we move through 2017, the phenomenon of ‘data’ continues to shape the fates of hundreds of companies and in turn the enterprises are bent on leveraging data to maximum effect. Data analytics and data science are fields that are creating a lot of job opportunities around the world and there is a huge worldwide skill gap in these fields. Whether you are a big data analytics expert or a data science professional there is a lot of opportunities for achieving more. There is no getting stuck at a certain level. A wide range of industries depend on data driven insights. The big names like Google, Facebook, Amazon, IBM, put a great effort behind data management and manipulation in order to attract and retain large customer bases. In simple words the path of success passes through data. This is why data science is so important along with the various techniques and technologies that are used to process and analyse data.
R is among the most used programming languages that are used for statistical analysis. It is among the first open source programming languages that has found a huge base of large scale users. Although today with the presence of Python and of course SAS, R is not the unassailable leader among data science tools but it continues to be extremely relevant as far as the industry is concerned and that should be reason enough for any aspirant to go through an R data science course.
An R programmer can find a lot of opportunities flying around. Though the best rest for the experienced professionals there are a commendable number of jobs for fresh candidates too. If you have been in the data science discipline for a while then an R data science course can add great value to your skill set and increase your chances to grasp better opportunities.
If you are a user of Python or SAS languages and consider it unnecessary to embark on an R course you may want to think again. R is a widely used language on a global basis and you would probably not like to miss out a chance of improvement just because you are not acquainted with R.
R holds a lot of perks for the users – it is a great tool for interactive work as well as a programming language for designing new tools. It can retrieve data in various formats – it is one of the best tools to deal with structured data. The visualization tools offered by are also very useful and they are regularly updated to stay up to the mark. Through an R data science course one can achieve a thorough understanding of the many possibilities that lie with this system.
The best part probably is the constantly active community of R programmers and users. They are active in multiple forums and with access to this community it becomes easier to solve problems. It offers a good study of the subject which, together with the excellent R data science course can really get you going.