Data science has been getting more attention for a while now and growing explosively. This area mainly operates on a huge set of data to dig out useful information that can be imposed on Business strategies. These data are usually studied to formulate a logical result.

One who works in this field is named as Data Scientists or data Analysts.

Python

It is a multi-paradigm language which keeps growing rapidly. It is a powerful language that provides a large set of libraries for manipulation of data and at the same time, it is easy to learn.NumPy & Scipy and PANDAS (Python data Analysis Library) are some powerful libraries which Python has for this field. Lastly, It is an open source, easy to learn and has a strong online community. Therefore, It is must goto programming language for data science.

Recently, JetBrains published its Data Science Survey Report, where 57% of people who took part in this, has considered Python as the main programming language for data Analysis and also they believe it will remain on top for the next 5 years.

R Programming Language

R mainly known for Statistical computing and graphics, is another analytical programming tool that Data Scientists have been using a quite now. R and its libraries serve a variety of statistical and graphical techniques such as linear and non-linear modeling, clustering and more. dplyr is one of the powerful libraries of R.

Jetbrains Survey disclosed that after Python, R is considered as the main programming language for data analysis.

Java

Java, one of the most popular programming language, also serves its services to Data science field. Due to its popularity, there are lots of people who have been working with Java as a developer. Java developers would be glad to know, it can also be used in Machine learning and Data Science. As it comes up with powerful libraries such as Weka and Deeplearning4j. JVM is also a reason that provides platform-independent capability and increases overall developer productivity.