Top programming languages data scientist need in 2023

Python

Python continues to be the most popular language for data science, and it's likely to remain so in 2023.

R

It has powerful statistical capabilities and is commonly used for data analysis and visualization.

SQL

SQL is used for managing and querying relational databases, which are commonly used to store large amounts of structured data.

Java

Java is a popular general-purpose programming language that can be used for building applications and data analysis tools. 

JavaScript

JavaScript is commonly used for web development, but it's also useful for data visualization and building interactive data dashboards.

Julia

 Julia is a relatively new language designed specifically for scientific computing and data analysis.

Scala

Scala is a programming language that runs on the Java Virtual Machine and is used for building distributed systems 

MATLAB

MATLAB is a popular language for scientific computing and numerical analysis. 

For more stories. Click on the link given below.

Arrow