Data Science is one of the highly paid jobs across the globe. With its increasing popularity, there are many tools and platforms in the market that support and automate the entire process. Now, all the popular programming languages have come up with libraries dedicated to Data Science.
Let’s have a look at some of the popular and widely preferred programming languages for Data Science.
Python is faster and easily scalable than other programming languages. It has easy-to-use dedicated libraries for Data Analysis and Data Science, making it one of the preferred languages by Data Scientist.
R programming language makes statistical computing easy and is used frequently for data analysis and data representation or projection. R is used to solve statistical problems and is widely used by Data Miners and Statisticians.
One of the oldest languages, Java, also offers several libraries and tools for Data Science and Machine Learning.
Scala is a powerful and high-level general-purpose programming language. It has several functions and libraries that support data science and Big data analytics.
Structured Query Language (SQL) is used for querying and managing databases. It is one of the important programming languages that a Data Scientist must be familiar with.
Julia is another high-level, general-purpose programming language mainly used for numerical analysis and computational science. It can be used for Visualization, Data Science, Machine Learning, Parallel Computing, and Scientific Computing.
C (C++) is an easy-to-use, powerful programming language that can be used for Data Processing, Visualization, and Machine Learning.
MATLAB is a multi-paradigm high-performance language best suited for Numerical computing. It can be used for Data Analytics, Deep Learning, and Computer Vision.
Swift is a multi-paradigm programming language developed by Apple. It is similar to Python language and is becoming one of the effective and powerful languages for Data Science.
If you are interested in this field then you would want to know about some Data Science programming questions that are frequently asked in an interview.
Check out our newly released Data Science Interview guides:
Keep an eye on our blog section to explore the top Data Science tools for beginners.