{"id":100715,"date":"2025-08-19T22:08:09","date_gmt":"2025-08-19T16:38:09","guid":{"rendered":"https:\/\/www.admecindia.co.in\/?p=100715"},"modified":"2025-08-20T16:45:17","modified_gmt":"2025-08-20T11:15:17","slug":"importance-of-sql-in-data-analysis","status":"publish","type":"post","link":"https:\/\/www.admecindia.co.in\/data-science\/importance-of-sql-in-data-analysis\/","title":{"rendered":"Importance of SQL in Data Analysis"},"content":{"rendered":"
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Hello readers, we have another blog on data analysis today. This time, we are talking about SQL. Whether it is data cleaning, its interpretation, manipulation, or analysis, SQL has a big role to play in the world of data science. It is a must to learn a language for all aspirants pursuing the Data Analytics Course in Delhi who want to be analysts.<\/p>\n\n\n\n

\"Importance<\/figure>\n\n\n\n
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This Structured Query Language helps in managing the overall workflow of extracting unstructured data and converting it into a well-structured one. This data further gets stored in files and is processed by a DBMS (database management system).<\/p>\n\n\n\n

There are a lot more points that define the importance of SQL for Data Analysis<\/strong>. In this blog post, we will walk through it.<\/p>\n\n\n\n

So, let\u2019s start straight with a quick introduction to this language.<\/p>\n\n\n\n

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

SQL <\/strong>was developed in 1970 <\/strong>by one of IBM’s researchers<\/strong> named Raymond Boyce<\/strong> and Donald Chamberlin<\/strong>. It\u2019s a Structured Query Language for developers and data analysis professionals to manage stored data.<\/p>\n\n\n\n

In simple words, SQL means Structured<\/strong> Query<\/strong> Language,<\/strong> which talks to databases. It asks questions in the form of queries and also gives instructions for optimizing raw information into well-organized data.<\/p>\n\n\n\n

Let\u2019s dive deep into SQL core functions to understand its job better.<\/p>\n\n\n\n

Key Functions of SQL<\/h3>\n\n\n\n

1. SELECT<\/strong>: This function picks up specific data from database tables.<\/p>\n\n\n\n

Example: Let\u2019s assume we have information on some school students and want to see the total no of students who got 80 marks out of 100. So, in this case, we can use the SELECT function to get the data of the listed students with marks above 80.<\/p>\n\n\n\n

2. JOIN:<\/strong> The next important function is JOIN, which combines data from multiple tables. But there is a condition that there needs to be some common things or similarities.

Example: Let\u2019s take the students’ example again. Now we can use this new function to get students’ names from one table and combine them with students’ marks from another table.<\/p>\n\n\n\n

3. GROUP BY<\/strong>: This function arranges available data into different groups. For example, we can group students based on their average marks obtained in each subject.<\/p>\n\n\n\n

4. HAVING<\/strong>: We use this HAVING function for more specific filtration of groups made using the GROUP BY function. For example, we can show those subjects in which students got average marks above 60.<\/p>\n\n\n\n

5. CREATE<\/strong>: This function, as its name suggests, adds a new table. For example, we can add a new table for inserting students\u2019 attendance data.<\/p>\n\n\n\n

6. INSERT, DELETE, UPDATE<\/strong>: These are some more functions that add, remove, and update old stored data. For example, we can use these functions to add a new student, remove any student\u2019s record, or update an existing student\u2019s record.<\/p>\n\n\n\n

Additional Essentials in SQL for Data Analysis<\/h2>\n\n\n\n

Now, we have a good understanding of the core functions of SQL, it\u2019s time to move forward to understand its basic building blocks. These are datatypes<\/strong>, operators<\/strong>, and command categories<\/strong>.<\/p>\n\n\n\n

Let\u2019s talk about them one by one.<\/p>\n\n\n\n

SQL Datatypes<\/h3>\n\n\n\n

Data types are like the guides for the database. They tell the database whether we are inserting numbers or text. SQL has three main datatypes named Numeric, Date & time, and string.<\/p>\n\n\n\n