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Advanced SQL for Data Science
Expert techniques to elevate your analysis
This story delves into advanced SQL techniques that will be useful for data science practitioners. In this piece, I will provide a detailed exploration of expert-grade SQL queries I use daily 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 behaviour analytics. The techniques I am going to talk about are designed to be practical and beneficial from the data science perspective. Mastery of SQL is a valuable skill, crucial for a wide range of projects, and these techniques have significantly streamlined my daily work. I hope it will be useful for you as well.
Given that SQL is the primary language used by data warehouse and business intelligence professionals, it’s an ideal choice for sharing data across data platforms. Its robust features facilitate seamless data modelling and visualization. It remains the most popular means of communication for any data team and nearly every data platform available in the market.
We will use BigQuery’s standard SQL dialect. It’s free and easy to run the queries I wrote and provided below.
