Data Science is an exciting field to work in and it is the consider as the most sexiest Job of 21st century.
There are many potential programming languages that the aspiring data scientist might consider specializing in.
While there is no single language for doing all the things a Data Scientist may need to do.
But there are some languages that are superior to others in statistics / mathematics / visualization .
Here are few of the languages that are mostly used by Data Engineers and Data-Scientists:
R
R is a powerful language that excels at a huge variety of statistical and data visualization applications. It is growing rapidly these days for data-analysis and data-visualization.
It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
Python
Python is a very good choice of language for data science, and not just at entry-level. Much of the data science process revolves around the ETL process (extraction-transformation-loading). This makes Python’s generality ideally suited. Libraries such as Google’s Tensorflow make Python a very exciting language to work in for machine learning.
Scala
Scala is another JVM based language and it is similar to Java, it’s is increasingly popular for Big Data computation and machine learning at large scale and building algorithms. It’s expressive and also capable of building robust systems.