In this article, I will take an in-depth look at advanced SQL techniques that will prove useful for data science professionals. In this article, I will discuss in detail the expert-level SQL queries that I use on a daily basis in my analytics projects. SQL, along with modern data warehouses, forms the backbone of data science. It is an indispensable tool for data manipulation and user behavior analysis. The techniques I am going to discuss are designed to be practical and beneficial from a data science perspective. Mastery of SQL is a valuable skill, crucial for a wide range of projects, and these techniques have significantly simplified my daily work. I hope you find it useful as well.
Since SQL is the primary language used by data warehouse and business intelligence professionals, it is an ideal choice for sharing data across data platforms. Its robust features facilitate seamless data visualization and modeling. It remains the most popular means of communication for any data team and for almost all data platforms available in the market.
We will be using BigQuery's standard SQL dialect. It's free and easy to run the queries I wrote and provided below.
