{"id":250016,"date":"2023-03-10T17:56:04","date_gmt":"2023-03-10T17:56:04","guid":{"rendered":"https:\/\/imarticus.org\/?p=250016"},"modified":"2024-01-20T05:49:27","modified_gmt":"2024-01-20T05:49:27","slug":"sql-for-data-science-why-is-it-important","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/sql-for-data-science-why-is-it-important\/","title":{"rendered":"SQL for Data Science: Why Is It Important?"},"content":{"rendered":"

Learning SQL or Standard Query Language is a mandate for anyone looking to build a career in data science<\/a><\/span>. It is used for interacting with and extracting data from relational databases. Most modern systems today capture data stored in one or multiple databases like Oracle, MySQL, SQL Server and Redshift. Hence, it is important to have an in-depth understanding of SQL to glean data from these systems and use them efficiently.<\/span><\/p>\n

Apart from writing queries and handling data, it aids in communicating with people, visualising results and building models. It is also an essential element in <\/span>machine learning<\/span>. Despite being a powerful tool, it is easy to learn, easily shareable, familiar and relevant worldwide.<\/span><\/p>\n

What is SQL?<\/strong><\/h2>\n

SQL or Standard Query Language is a declarative language for controlling and acquiring data. Data scientists use it to develop, decipher, control (insert, update, delete) and combine tables. Furthermore, it is used for filtered results with ORDER BY statements, WHERE clauses and the like.\u00a0<\/span><\/p>\n

\"data<\/p>\n

SQL helps data scientists access data and work directly with a database without using a different programming language. It makes running complex queries easier because one can do so with <\/span>SQL <\/span>syntax and without writing code, making extracting anything from a database easy.<\/span><\/p>\n

5 Reasons Why SQL is Important in the Field of Data Science<\/strong><\/h2>\n

SQL is essential for Relational Database Management which plays a major part in data science. Here are 5 main reasons why SQL is important in data science:<\/span><\/p>\n

1. It is a powerful language\u00a0<\/b><\/h3>\n

SQL programming<\/span> is used for manipulating data, creating new tables, inserting data into tables and retrieving results of queries. SQL syntax is similar to the <\/span>SQL programming<\/span> language, which makes it easy to learn. Developers familiar with Standard Query Language also find it easier to learn <\/span>Python objects<\/span> and programming. With SQL, it is possible to:-<\/span><\/p>\n