R for Data Science
R, long one of the most popular languages for statistical modeling, has evolved into a data science powerhouse platform with dozens of packages and interfaces for machine learning, deep learning, data visualization, and various other data science methods.
This advanced language is used for performing complex statistical modeling and provides support for operations on arrays, matrices, and vectors. Its many graphical libraries allow users to delineate aesthetic graphs and also develop web-applications using R Shiny, which is used for embedding visualizations in web-pages. R also provides several options for advanced data analytics like prediction modeling and advanced machine learning algorithms. With interfaces to popular frameworks like TensorFlow and Keras, R users can easily build and deploy the latest deep learning models.