What does the acronym “SQL” stand for in the context of Data Science?

Structured Query Language
Statistical Query Language
Simplified Query Language
Secure Query Language

The correct answer is: A. Structured Query Language

SQL (pronounced “sequel”) stands for Structured Query Language. It is a programming language designed for managing data in relational database management systems (RDBMS). SQL statements are used to perform tasks such as update data on a database or retrieve data from a database.

SQL is a declarative language, which means that the programmer specifies what they want to do, not how to do it. This makes SQL a very powerful and versatile language, as it can be used to perform a wide variety of tasks.

SQL is a standard language, which means that it is supported by all major RDBMS vendors. This makes it easy to learn and use SQL, as you can be confident that your skills will be transferable to any RDBMS.

SQL is a very popular language, and it is used by businesses of all sizes to manage their data. If you are interested in a career in data science, then learning SQL is a must.

Here is a brief explanation of each option:

  • A. Structured Query Language: This is the correct answer. SQL is a programming language designed for managing data in relational database management systems (RDBMS).
  • B. Statistical Query Language: This is not the correct answer. SQL is not a statistical query language. It is a programming language designed for managing data in relational database management systems (RDBMS).
  • C. Simplified Query Language: This is not the correct answer. SQL is not a simplified query language. It is a programming language designed for managing data in relational database management systems (RDBMS).
  • D. Secure Query Language: This is not the correct answer. SQL is not a secure query language. It is a programming language designed for managing data in relational database management systems (RDBMS).