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Which are the best programming languages to be mastered for Data Science?

Key Points

  • Which are the best programming languages for Data Science.
  • Python for Data Science.

Data Science is transforming the way companies conduct their business. As Marissa Mayer rightly says- “With Data collection, ‘the sooner, the better’, is always the best answer”. All the information regarding sales revenues, customer product preferences, past profits, collectively constitute data for the company. This data is vital to make business decisions and plan the future course of action. Data is an essential component of any business, mainly when it comes to decision making. The data, which is raw, and mostly unorganised is known as Big Data. Big Data can be better understood in three terms, otherwise called the three Vs of data, namely Volume, Variety, and Velocity.

  • Volume:- Companies have to deal with large quantities of data, which are known as unstructured data, whose value is unknown. The data volumes tend to change between organisations.
  • Variety:– Big data has two types of data present within it, namely structured and unstructured data. Traditional data sets mostly had only structured data.
  • Velocity:- Data velocity mainly refers to the speed of receiving the data.

The demand for Data Science professionals is skyrocketing, but on the other hand, studies have shown that there has always been a gap between the supply of skilled Data Scientists. Now, what do you exactly mean by a skilled Data Scientist? A professional who is knowledgeable about the fields that significantly contribute to Data Science walks the extra mile. Programing languages happen to be one such subject that complements Data Science.

The best programming languages for Data Science

Best Programing Languages for Data Science

With almost 250+ programming languages available today, the relevance of programming languages is well confirmed. Now let us look at some of the best known and widely opted programming languages for Data Science.

Python Programming Language

Why Python for data science

Python is a widely-used and most favourite among Data Scientists for the convenience it offers. From a syntax perspective, Python seems to fare well compared to other programming languages. Data Scientists and Machine Learning Experts around the world tend to laud Python when it comes to incorporating it into their day to day functions. They are in search of something which less complex and, at the same time, serves the purpose well.

Data Science involves deriving information that is both valuable and useful from large datasets. These data sets are mostly unarranged and devoid of accuracy. Machine Learning algorithms help to establish a relationship with data but should be supported by impeccable computational efficiency. Python serves this objective well. It helps in creating data output in CSV format that facilitates easy readability. Also, Python is known for a wide range of language libraries. Some of the best-known Python libraries are:-

  1. Numpy
  2. Pandas
  3. Tensorflow
  4. Keras
  5. Scikit- Learn

The above mentioned Python libraries are highly rated and are beneficial in usage, freeing from the task of having to write codes. Various libraries have their respective uses. For instance, Numpy is used for performing complex mathematical operations with the help of various functions present in it.

Data Science course comes with a separate topic on Python for Data Science. It deals with all the possibilities that the Python language has in Data Science. The Python for Data Science course is widely opted for by students as well as Data Science professionals.

R Programming Language

Why R for data science

The characteristics of R is similar to that of Python, which makes it easily comparable. For instance, R has an open-source programming language like Python. It helps to suffice statistical computation. It is a replacement for traditional statistical techniques such as SPSS and SAS. R also consists of front ends that facilitate easy interaction with the statistical computing environment. For instance, a Graphical User Interface (GUI) helps a professional to conduct data analysis without having to depend upon commands, just by selecting from the menu. Moreover, a Graphical User Interface(GUI) present in R helps in data loading without having to learn a language for analysis. Thus, R for data science also a good option.

Scala Programming Language

Scala is a programming language characterised by high-level functionality that helps in filling the gaps left by the JAVA programming language. It ensures better scalability when it comes to working with large volumes of data. Scala, combined with Spark, supports data processing on a large scale. Scala has a wide range of libraries that helps in enhancing its functional capabilities.

Matlab Programming Language

Matlab is a special-purpose programming language used for writing programs that are moderately sized and helps in solving problems. It has found applications right from the field of engineering to finance. Precisely, Matlab is the best option when it comes to performing mathematical operations such as Linear Algebra. It also helps in operations like Interpolation, Optimization, Sparse Matrices.

SQL Programming Language

Structured Query Language, better known as SQL, is a tool for managing data stored in a relational database. SQL has been in existence for a long time but is in great demand in the current times. SQL help users to read, manipulate, and alter data effectively. Some of the advantages of using SQL for data analysis are:

  1. Easy access to large volumes of data.
  2. Help to make the learning process easy and faster.
  3. Auditing of data can be carried out easily when compared to spreadsheets.

SQL can be used, in other frameworks, which helps to ease the burden of building an entirely new framework structure. It is compatible with Python, Scala, and Hadoop.

Closing Statement

On a conclusive note, if we conduct a careful study of the most opted programming languages for Data Science, we can find that Python still leads the race. Therefore, if you are an aspiring Data Scientist, it is always advised to master Python. Institutes like DataMites offers Python for Data Science course, along with Data Science, Artificial Intelligence, and Machine Learning certifications. Join Certified Data Scientist course now.

About DataMites Team

DataMites Team will publish articles on various topics like data science, machine learning, artificial intelligence, deep learning, python programming, statistics, DataMites® press releases and career guidance.

One comment

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