SQL Crash Course: 45 SQL Queries to Make You a PRO
SQL Queries Used by Data Science Professionals
SQL (Structured Query Language) is one of the most used programming languages, enabling users to interact with databases to retrieve, manipulate, and analyze data efficiently. Whether you’re a seasoned data professional or just starting your journey in data analytics, mastering SQL is a critical skill.
To lay the foundation for mastering SQL, you can go through this blog, where we’ll go through the top 46 fundamental SQL queries that every data professional should be aware of. Starting from basic data retrieval to some advanced techniques for optimization, these queries will lay a solid foundation for your SQL journey.
So, without further delay, let’s dive in and explore the power of SQL together!
We will start by creating a dataset for a retail store containing information about sales transactions.
Consider a dataset with the following schema:
sales
table:transaction_id
(integer, primary key): Unique identifier for each transaction.transaction_date
(date): Date of the transaction.product_id
(integer): Identifier for the product sold.