Data science is an emerging field with a lot of potential in the coming years. The need for data scientists in various fields has grown exponentially in recent times, and there are many opportunities to make money through this profession. Aspirants looking to enter the world of data science should use the best programming languages. But which ones are the best?
According to Forbes, there are over 200,000 data scientists worldwide and this number is expected to grow by at least 28% in 2021. The demand for data science professionals has increased so much that many colleges have started offering data science degrees or courses as part of their curriculum.
In this article, we will discuss 15 best programming languages that have been identified as being among the most popular for Data Aspirants in 2021.
Table of Contents
1. Python
Python is one of the most popular languages for data science. It was initially designed to aid in coding problems that involved statistics and mathematics, but its application has since expanded beyond this domain. The language also offers functionalities like machine learning support which makes it an ideal choice for aspirants looking to enter the world of data science. Learn how to code effectively with Python
2. Java
Java is among the best programming languages that can be used by data scientists in their endeavors. It was initially created as a general-purpose object-oriented language but has since expanded beyond this domain.- Java, unlike Python and R, does not have extensive machine learning libraries which limits its application in data science. However, there are some libraries available for aspirant programmers who are looking to make use of Java.
3. C++
C++ is another programming language that can be used by aspirants for their data science pursuits. It was initially designed as a general-purpose language but has since expanded into several other domains.- C++, unlike Python and R, does not have extensive machine learning libraries which limits its application in the field of data science. However, there are some libraries available for aspirant programmers who are looking to make use of C++.
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4. Bufenge
Befunge was initially developed as an esoteric programming language but its application has since expanded beyond its initial domain.- Befunge is not as popular among data scientists which limits the libraries available for aspirant programmers who are looking to make use of this language. However, there are some libraries available for those interested in making use of Befunge.
5. C
C is another programming language that can be used by Data Scientists pursuing their ambitions.- C, unlike Python and R, does not have extensive machine learning libraries which limits its application in the field of data science. However, there are some libraries available for aspirant programmers who are looking to make use of C and it is also considered one the oldest programming languages which makes its application in data science easier than other newer languages like Python and R.
6. Scala
Scala is one of the best programming languages among aspirants pursuing data science.- Scala is a general-purpose programming language that can be used to develop applications ranging from the web to desktop apps. It has several libraries available for aspirant programmers who are looking to make use of this language in their Data Science pursuits.
7. Matlab
Matlab is a programming language that is widely used in the field of data science. It has been designed to streamline and simplify complex mathematical computations on computers, making it an ideal choice for aspirants looking to get into this line of work. The software also comes with certain add-ons like MATLAB accelerator toolboxes which allow speedier processing speeds when compared to other languages.
8. Kotlin
Kotlin is a relatively new programming language that has been developed by Google and JetBrains. It was designed as an alternative to Java, which makes it a suitable choice for aspirants looking to get started in the world of data science . The primary function of Kotlin lies in simplifying coding processes while also improving the speed of software development.
9. R
R is one of the most popular programming languages data scientists frequently use. It was initially developed by mathematicians, so it has strong statistical capabilities and is also considered easier to learn than other languages.- R, unlike Python, does not have an extensive library of machine learning tools, which limits its application in the field of data science. However, there are some libraries available for aspirant programmers who are looking to make use of R.
10. Ruby
Ruby is another programming language that can be used by aspirants for data science. It was initially developed as an object-oriented scripting language but has since expanded beyond its application in the field of web development.- Ruby, like Python and R, also does not have extensive machine learning libraries which limits its application in data science.
11. Cobol
Cobol is another language that can be used by Data Scientists pursuing their ambitions.- Cobol was initially designed as a programming language for commercial use and is still used widely in the financial sector. Data Scientists find it useful because of its extensive capabilities, which make it suitable for data science applications like processing, sorting, and grouping large sets of data.- Cobol also has many libraries available to aspirants looking to make use of this language.
12. Fsharp
Fsharp is another programming language that can be used by aspirants pursuing data science.- Fsharp is a functional and object-oriented programming language which makes it ideal for the applications of Data Science. It was initially designed to aid in coding problems that involved statistics and mathematics, but its application has since expanded beyond this domain.
13. Brainfuck
Brainfuck is fast emerging as one of the best programming languages that data scientists can use in their endeavors. Brainfuck was initially designed to make the code very difficult for anyone other than its creator to understand but has since expanded beyond this domain. It is not as popular among aspirant programmers who are looking to make use of it because there are limited libraries available for them
Brainfuck is another language that can be used by Data Scientists pursuing their ambitions.- Brainfuck was initially designed as an esoteric programming language, but its application has since expanded beyond this domain. Data Scientists find some libraries available for those interested in making use of Brainfuck, but it does not have popularity among these aspirants, which limits their number.
14. Haskell
Haskell programming language can also be used by aspirants pursuing Data Science. Haskell was initially designed as a general purpose purely functional programming language but has since expanded beyond these confines. It also has many libraries available for data scientists who are looking to make use of this programming language.
15. Octave
Octave is another programming language that can be used by Data Scientists pursuing their ambitions.- Octave was initially designed as a numerical computing language for engineers and scientists, but its application has since expanded beyond this domain. It also has many libraries available to aspirant programmers who are looking to make use of this language in their data science pursuits. Learn how on how to code faster with any programming language.
Conclusion
The above list of best programming languages can help aspirants in their Data Science pursuits. These are among the most popular and widely used programming languages for data science applications by Data Scientists today, but aspirant programmers should research each language before deciding which they want to learn more about through various online resources available.
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Resources
Statistical & Data Sciences: https://www.smith.edu/academics/statistics
REU Sites: Computer and Information Science and Engineering: https://www.nsf.gov/crssprgm/reu/list_result.jsp?unitid=5049
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