For someone with a modest knowledge of Python and nothing else, the syntax of R programming language can be quite intimidating. However, learning R is not all that difficult and a little bit of practice allows you to quickly adapt to the programming syntax of a new language. For the uninitiated, R is a programming language created by the statisticians for the statisticians. Its strong affinity with statistics makes it one of the most important programming languages for data science.
Need to learn R for data science
Before proceeding further, you would like to know the importance of learning R for making a career in Data science.
Powerful Analytic Packages for Data Science
First and foremost R programming has an extremely vast package ecosystem. It offers robust tools to master unique skills associated with data science like data visualization, data manipulation and machine learning. Another primary advantage of R is that it has a vast and active community that works diligently on the programming language by continuously adding to R language’s functionalities.
High Industry Popularity and Demand
R programming boasts of high analytical power which is making it one of the most popular programming languages in the field of data science. It is being heavily employed in industries including big ones like Google and Facebook who are increasingly hiring data scientists to reap the benefits of machine learning and Artificial Intelligence.
Quickstart Installation Guide
To start programming with R on your computer, you need to install R and RStudio on your computer.
Install R Language
You have to first install the R language on your computer before you start working on it. In order to download R, please visit CRAN, https://cloud.r-project.org/ (the comprehensive R archive network). Choose your system and then select the latest version of R programming language to install.
Install RStudio
You also need a robust and sturdy tool to write and compile R code. And when it comes to robustness and popularity, RStudio is the most popular IDE (integrated development environment) for R. Go to File > New File > R Script to open a new script file.
RStudio Interface
4 panels are used in RStudio interface. They are script, console, environment and output. Script is where the main script is located and console shows the output of the code you run from script. R programming training provided by a good training institute is excellent for people who do not have a programming background but want to acquire job oriented practical skills and wants to make a career in Data Science.