Are you ready to take your data science skills to the next level? In this video, we take a deep dive into the top 5 essential SQL topics that every data scientist should master. Whether you're a beginner or want to brush up on your SQL knowledge, this video has you covered!

What you learn:

Basic SQL queries: Learn how to retrieve, filter, sort, and limit data using the SELECT, WHERE, ORDER BY, and LIMIT clauses.

Joins – Use INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN to seamlessly combine data from multiple tables.

Aggregations – Discover the power of COUNT(), SUM(), AVG(), MIN(), MAX(), GROUP BY and HAVING to summarize and analyze data.

Subqueries – Learn how to use nested and correlated subqueries to retrieve complex data.

Window functions – Learn ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), LAG(), and LEAD for advanced data analysis.

Why SQL is crucial for data science:
SQL is the backbone of data manipulation and querying in relational databases. It is an indispensable skill for data scientists who need to work with large data sets, perform detailed analyzes and derive actionable insights.

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