Top programming Language | Best programming language for data science

Best Language for Data Science

The demand for a data scientist in every industry is growing substantially. because in this technical world raw data of any industry work as fuel for growing business immediately. So for
the  expand the business analyse the raw data of industry, for the analysis data industry hireing a data scientist. Data science is a concept of bringing together statistics, data analysis and their related strategies to understand and analyze real wonders with data. It engages theories and techniques drawn from various fields within the wide regions of statistics, mathematics, computer science, and7 information science.

Basically data science is a technique by which we analyse data.
it may be any language like Python,R,SQL etc or any software like google analytics, excel etc

In this blog we will discuss about top language which is required for data science

1.Python

Python is an extremely used for Data Science. Because it is easely read and learn programming language and is a widely used language within the data science community. It is commonly referred to as the easiest programming language to read and to learn. Since it combines quick improvement with the capacity to interface with high-performance algorithms written in Fortran or C, it has become the leading programming language for open data science with the advancement of technologies such as artificial intelligence, machine learning, and predictive analytics, the demand for experts with Python skills is rising significantly. It is widely used in web development, scientific computing, data mining, and others.

2.R

It is one of the most often used tools. R is an open source language and software environment for statistical computing and grap

hics, supported by the R Foundation for Statistical Computing. This skill sets have high demand across recruiters in machine learning and data science.

R provides many statistical models, and numerous analysts have composed their applications in R.  It is the topper of open statistical analysis, and there is a clear focus on statistical models which have been composed utilizing R. The public R package archive, contains more than 8,000 networks contributed packages. Microsoft, RStudio, and various organizations give business support to R-based computing

3.Java  

Java is a object oriented language which is and extreamely used for big data handling java runs on the java virtual machine(jvm).It is an Oracle-supported unique computing system that empowers portability between platforms.

Due to the demand for Java skills is raising, it has been called a pillar of the organization programming stack. Having said that a significant rise in demand, Java skills have been in demand especially for software architects, software engineers, and DevOps engineers.

4.SQL

Sql stands for Structured Query Lanuage which is used for access data from database.Hence it is play most important role in data science post.So it is one of the most popular amongst the data science field. It is used well for querying and editing the information stored in a relational database. And also, mainly used for storing and retrieving data for decades. It is used in managing particularly large databases, reducing the turnaround time for online requests by its fast processing time. Having SQL skill can be the biggest asset for machine learning and data science professionals, as SQL is the most preferred skill set for all the organizations.

5.Scala

Scala (scalable language) is one of the best-known languages with one of the largest user bases. It is a general-purpose, open source programming language which runs on the JVM. Scala is an ideal choice of language for those working with high-volume data sets and has full support for functional programming and a strong static type system.

Since it was developed to run on the JVM, it allows interoperability with the Java itself, making Scala a very great general purpose language, while also being a perfect option for data science.

Hence these programming languages are popular for data science, 
in this article i share my exprience. I hope your all doubt cleared in this article. if you have any queary then you can mail to me.