Last Updated on by Kumar Raja

Programming Languages That Are Crucial For The Role Of A Data Scientist?

The role of a Data Scientist is one of the highest paid job-roles in the current age of Big Data. Data Scientists are the skilled experts in Data Science who are capable of handling all the core challenges of the analytics industry. Being a Data Scientist requires extensive knowledge of advanced Analytics Tools, Machine Learning Algorithms, Statistical Models, Computational Techniques & more. Apart from these skills, Data Scientists should also be having sound knowledge of programming.

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Now, in this post, let’s look at the most prominent programming languages that are crucial; for the job-role of a Data Science expert.

  • Python

Python is undoubtedly one of the best preferred programming languages for analytics operations involving Data Science. Most of the Data Scientists either experts or fresher both are very much comfortable in working on Python for handling the analytics operations involving Data Science.

Python has numerous libraries, packages & a number of plugins that support the execution of different analytics operations. Data Visualization, Web Scrapping are some of the complex analytics operations that need knowledge of Python programming.

  • R Programming

Next to Python, R is the second most preferred programming language for Data Science. Knowledge of R makes it easy to work on vectors, matrices, arrays and data frame operations. Just like Python, R is also having numerous plugins & packages that support numerous analytics operations.

  • SQL

Knowledge of SQL is also very crucial for Data Scientists. Most of the data that gets stored in the databases requires SQL operations to be performed to arrange the clusters of unstructured data in an organized format.

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