Whenever you think of database administration or database management, SQL is the first thing that comes to mind, and rightly so. SQL was explicitly designed for accessing and manipulating databases. Over the years, SQL has gained massive popularity in multiple domains, including database administration, backend web development, Data Science, and Business Intelligence (BI). Since all of these fields involve storing and retrieving colossal volumes of data for data analysis, SQL skills are a must.
What is SQL?
SQL is a programming language that stands for Structured Query Language. As we mentioned, it is specifically designed to operate databases. It is a standard programming language for relational database management systems (RDMS). You can use SQL to create, manipulate, and share data. All the popular RDMS platforms like Oracle, Sybase, Informix, Postgres, MySQL, MS Access, and SQL Server use SQL as their standard database language.
Why is SQL so popular?
SQL offers many advantages, which makes it immensely popular in the developer and Data Science community. Some of the best aspects of SQL are:
- It allows you to describe and summarize the data.
- It enables you to access data stored in the RDMS.
- It facilitates the creation of views, procedures, and functions in databases.
- It lets you set permissions on views, tables, and procedures.
- Apart from data manipulation, it allows you to create and drop databases.
- You can embed SQL within other languages by using SQL modules, libraries, and pre-compilers.
Why Learn SQL?
Here’s why you should invest your time in mastering SQL:
1. SQL is Omnipresent
As we said, SQL is relevant for anything that has to do with data. From small firms to big corporations, SQL skills are required by companies of any size and industry. After all, SQL is an excellent choice for data querying and data analysis. Big names like Netflix, Facebook, Google, Amazon, Uber, and Airbnb use SQL in their tech stack. Learn more about SQL for data science.
2. It has an easy learning curve
Similar to Python, SQL has an easy learning curve. Once you understand the basic concepts of how SQL functions, writing queries is a breeze. And once you ace SQL queries, you will learn how to combines simple queries for data manipulation, develop ML projects, and run SQL on multiple platforms. The syntax is pretty similar to that of the English language.
3. It is capable of handling colossal volumes of data
Every day, the world generates unprecedented amounts of data. While businesses need to tap into this data and utilize it for smart business decisions, traditional spreadsheets no longer suffice for such vast data volumes. This is where SQL comes to the rescue. SQL is designed to handle and manage vast data pools of structured and unstructured data without any hassle.
4. It is the ideal choice for data mining
SQL enables you to access and mine the required information from the stored data at high speeds without compromising quality and efficiency. You can use SQL queries to view/modify events, identify specific data, monitor database activity, and extract highly-specific information at any time.
5. It allows you to gather data from disparate sources
Any business that leverages data must collect data from multiple and varied sources. While this is a time-intensive task, SQL makes the process much easier. Through its UNION operations, SQL lets you declare the fields or databases that you wish to combine.
6. Troubleshooting is relatively easy with SQL
SQL allows for easy and fast troubleshooting of issues. Let’s say there’s a syntax error in your code, it will be displayed – be it a missing or misspelled command or an indicator mentioned at the wrong place. If you try to use a table/database that doesn’t exist, it will return the result, saying that the table/database you’re searching for does not exist.
7. SQL is backed by high-demand in the market
According to a recent study of job postings, SQL emerged as the most in-demand tech skill. The demand for SQL experts is at an all-time high at companies across multiple sectors, ranging from startups to established companies. Basically, the job market for SQL is expanding rapidly. Thus, it is an opportune time to acquire SQL skills.
Learn SQL online free: The upGrad advantage
Anyone who wishes to work with data or enter the field of Data Science must be well-versed with the SQL programming language. What if you could learn SQL for free?
upGrad has a free SQL course that’s perfect for beginners. This course is offered as a part of upGrad’s upStart-Priceless Learning initiative. The free SQL course is a four-week course that includes three modules covering the basics and advanced level concepts of SQL.
Students are trained by top mentors and industry leaders. They learn via one-on-one mentorship, live interaction sessions, and well-designed course materials. On course completion, each candidate is awarded a certificate of completion. The course is highly industry-specific, so rest assured, by the end of the course, you will be ready to take on SQL-related job roles.
The three modules under upGrad’s free SQL course include:
1. Database Design and Intro to MySQL Advanced SQL
This module will teach you all about database design. You will also learn the basics of MySQL using MySQL Workbench 2. This module aims to build a strong foundation in SQL.
2. Advanced SQL
This module progresses to more advanced SQL concepts such as window functions, case statements, stored functions, and query optimization.
3. SQL Assignment (1 & 2)
In the final stage, students get to apply the knowledge gained in an experiment involving buying and selling stocks. This experiment aims to enhance the real-world SQL skills of learners.
Must Read: SQL Project Ideas and Topics
How to Start
To join our machine learning online course free, follow these simple steps:
- Head to our upStart page
- Choose the course you want to join
All the courses present on our upStart page are available for free and don’t require any monetary investment. These courses help you kickstart your learning journey and get acquainted with the fundamentals of such complicated subjects.
Sign up here to join our free machine learning course today.
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