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What languages should data analysts learn?
1, R language is free and open source; Specially developed for statistics and data analysis, the basic installation also includes comprehensive statistical functions and functions; Data visualization is very powerful.

2.Python language: it is a mainstream programming language with extensive online support; There are excellent software packages such as Google Tensor flow, which makes the machine learning framework tend to use Python language. Easy to learn and easy to use.

3.SQL language: SQL is a database query and programming language, which is used to access data and query, update and manage relational database systems. It is the most important relational database operating language.

4.Java language: Java is the representative of static object-oriented programming language, which has the characteristics of object-oriented, distributed, platform-independent and portable, multithreading and dynamic. Currently supported by Oracle Bone Inscriptions Company.

5.Scala language: a multi-paradigm programming language, similar to Java, came out in 2004. It was originally designed to realize an extensible language and integrate various functions of object-oriented programming and functional programming.

6.Julia language: it is a high-performance dynamic high-level programming language for scientific computing that has just appeared for several years.