1- Python language
Python is a high-level, easy-to-learn, open-source, extensible, object-oriented programming language (OOP).
Python is one of the easiest, if not the easiest, programming languages. It is a high-level language. The purpose of the orientation is characterized by simplicity and its proximity to the readable language, and the fact that this language was developed from the C language, which gives it an advantage in processing high-level algorithms, in addition to the availability of many libraries suitable for this field such as Matplotlib and Pandas, these features made learning it a major choice To get into data science
2- R . language
R is also considered one of the programming languages that are essential for entering the field of big data, and it is a statistical mathematical environment used in statistical analysis. Through which to deal with and analyze a large volume of data scattered across multiple systems, pbdR provides several convenient software libraries such as NetCDF4 and ScaLAPACK.
Java is an object-oriented programming language, created by James Gosling in 1992 - while working in the laboratories of Sun Microsystems - to use it as the thinking mind used to run smart application devices such as interactive television, and the Java language was a development of C + +, and when it was born, its creator called it "Awak", meaning the oak tree; And it is the tree that he was seeing from his office window while working at Sun Microsystems Laboratories, then the name changed to Java, and this name (unusually in naming programming languages) is not the first letters of the words of a specific sentence or expression with a certain meaning, but it is just a name put by the developers of these Language to compete with other names
One of the most powerful and widely used programming languages ever, Java is an object-oriented language. High-level, and the development of this language was the development of one of the programming languages that already exist, which is the distinguished C++ language, and this language always comes in the first ranks of the most popular and most used programming languages, and this language can be used in many fields such as Android application programming, Cloud Computing application programming, It is one of the languages used in cloud programming and many other uses.
4- Scala language
Scala is an object-oriented programming language | Object oriented programming, functional, and multipurpose. Before explaining the Scala language, I must say that learning Scala programming is more difficult than other languages. But if you can learn this language, it is certainly of great value.
Scala is one of the most accurate and logical languages in the world. Many Scala features have been added due to criticism of Java.
- Work on the Scala language began in 2001 and its first appearance was in 2003. The name of the language came from the term “Scalability” or scalability, and this refers to the language’s flexibility, and since it depends on Java to run the code, it can be used on any platform Easily, it is one of the great big data languages that you can rely on as well.
5- SQL language
Structured Query Language or SQL (Database Language) is a non-procedural programming language, and thus differs from the usual programming languages such as C or Java, in that non-procedural languages are specialized languages. Therefore, Structured Query Language is a language for dealing with and controlling interconnected databases by dealing with data structures and performing data entry operations, deletion, sorting, searching, filtering, modifying, and so on.
And because dealing with data or collected data requires dealing with databases, this language must be among the languages you study if you want to enter this field, and with the emergence of the new structure of this language that supports Apache Spark, this increased the strength of the language and the imperative to learn a skill Programming in order to professionalize the field of Data Sciences.
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