9 Top Programming Languages for Data Science 

        

Python is one of the most popular languages for Data Science. It has a wide range of libraries and frameworks that are specifically designed for Data Science. 

                                                        

Python 

R is another popular language for Data Science, particularly for statistical analysis and visualization. It has a large number of libraries and packages that are specifically designed for Data Science. 

                                                        

SQL is a language that is commonly used for managing and querying databases. It is essential for working with large datasets. 

                                                        

SQL 

Java is a popular programming language that is widely used in the industry. It has several libraries and frameworks that are designed for Data Science. 

                                                        

Java 

MATLAB is a programming language that is commonly used for mathematical and scientific computing. 

                                                        

MATLAB 

Scala is a programming language that is designed to work with large datasets. It is often used with Apache Spark. 

                                                        

Scala 

Julia is a high-performance programming language that is designed for scientific computing. It is particularly well-suited for numerical analysis and Data Science. 

                                                        

Julia 

SAS is a software suite that is commonly used for statistical analysis and Data Science including SAS/STAT and SAS/ETS. 

                                                        

SAS 

C++ is a programming language commonly used in high-performance computing, for building data science applications that require fast computation. 

                                                        

C++ 

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