What does R stand for? Some fun fact for you guys, as well as a bit of a history lesson, R was designed and developed by Ross Ihaka and Robert Gentleman. Both of their names begin with the alphabet R, hence probably why they decided to name the language a simple “R”.
R is one of the most popular language in the world of Data Science! It is heavily used in analysing data that is both structured and unstructured. This has made R, the standard language for performing statistical operations. R allows various features that set it apart from other Data Science languages. R is one of the most popular software for machine learning because of its user friendliness and powerful RStudio IDE. R is use by many professionals for mathematical and statistical inference, data analytics and machine learning algorithm.
You are probably wondering why you should learn R, out of all programming languages out there. This article will showcase various, but of course not limited to, reasons on why you should hop onto this R train!
R rules in Data Science
Many organisations across industries have started to realise that to be successful, and sustain that title, one must be able to collect, store and analyse data at a much faster pace compared to their competitors! With such revelation means organisations are aggressively looking for people with these skillsets. Big Data revolution will not fade away or die down anytime soon. It is the future, and to acquire such skillsets will boost the probability of employability in the long-run! If you want to enter the field of Data Science and earn a lucrative salary, then you must learn R! In the words of Matt Dancho, “R is like Excel on steroids! But more important than just muscle is the combination of what R offers: brains, muscle, and heart” In short, R pretty much rules!
R is Robust & Popular
R has become one of the most popular programming languages in the world. R was mostly used in academia traditionally, but as the digital revolution expanded and grew, so did the emergence of Data Science. This movement caused an evident increase in the need and usage of R in the industries. It is very popular that it is highly used in Facebook for social network analysis. Additionally, it is also being used at Twitter for semantic analysis and as visualisations! Aside from being popular and being used in Tech Giants, R is also recognised for its stunning visualisations which gives it an edge over other Data Science programming languages. At this day and age, as much as it is about the ability to provide data storytelling, the aesthetics of the data visualisation plays and equally important part. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science!
Massive R Community!
Yes, many other programming languages have massive community support too! That’s the great thing about it. Regardless of your background, individuals can easily receive and provide help to the R community! This can be via joining bootcamps, groups, forums or engaging in discussions. The world might be huge, but if you a part of the community, it is very easy to communicate, to share and contribute your ideas or thoughts! The support will always be there. Matt Dancho also said that “You begin learning R because of its capability, you stay with R because of its community. The R Community is the coolest part. It’s tight-knit, opinionated, fun, silly, and highly knowledgeable… all of the things you want in a high performing team” If you want to grow, and have fun at the same time, learn R! You will never be alone, and you will only progress along the way! It’s like being in a dynamic team, everyone wants to succeed, and no one gets left behind!
R is Easy To Get Started
It is immediately a major YES when a software comes from an open source! This essentially means it is free. Who doesn’t like free things, right? This also means it is easy to kick-start your R learning journey. No hassle to think about payment! Just simply download and start toggling! The best part is that R has no restriction in the usage as it is issued under General Public Licence (GNU).
Conclusion
In the end, learning R will have immense benefits that will provide you with the right tools to deal with data on a large scale. Whether it is for personal upgrading, or for work, this skillset will stay with you for life! Even if you move across organisations or industries, R will still be relevant for many decades to come. If you would like to embark on that journey, come check out the various R courses Aventis offers! From beginners to intermediate levels, learners can look forward to deepening their R knowledge and understanding! More details below!
Learn more about R Programming and how to get started on the journey!
At Aventis, we recognise the importance of being able to continuously learn and upgrade skillsets, even if it is completely foreign, which is why we’ve kick-started our 2-Days Foundation to R Programming. This 2 Days practical workshop and hands-on course aims to help learners gain a working understanding of R for Data science. The course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in other language or have done advanced Excel macros to begin using R as a data science tool. Within the R software environment, learners will learn to apply R using statistical concepts and data analysis techniques simultaneously to solve mathematical probabilities questions and specific problems.
For more information, you can get in touch with us at (65) 6720 3333 or training.aventis@gmail.com
References
https://www.business-science.io/business/2020/12/17/six-reasons-to-use-R-for-business-2021.html
Why Learn R? 10 Handy Reasons to Learn R programming Language
