Intuitive SQL for Data Analytics - Tutorial

Master SQL for data analytics in this comprehensive 11-hour tutorial. Gain both theoretical knowledge and practical skills to confidently tackle complex SQL challenges. Starting from the basics, explore SQL fundamentals, data organization, and BigQuery setup. Progress through advanced topics like subqueries, joins, window functions, and common table expressions. Apply your skills to real-world scenarios and solve challenging SQL problems. Practice with PostgreSQL exercises covering basic operations, joins, subqueries, and aggregations. No prior experience required, as all exercises are completed in-browser using BigQuery. Access additional resources and course materials through the provided Notion link.

⌨️ Introduction
⌨️ Syllabus & resources
⌨️ Meet SQL!
⌨️ Types of SQL statements
⌨️ Why BigQuery
⌨️ How to setup Google Cloud
⌨️ How to avoid Google Cloud charges
⌨️ Introduction to our data
⌨️ How data is organized in BigQuery
⌨️ Loading our data in BigQuery
⌨️ The BigQuery Interface
⌨️ Running our first query
⌨️ How SQL organizes data
⌨️ The SQL statement
⌨️ The three orders of SQL operations
⌨️ The logical order of SQL operations
⌨️ Introduction to basics
⌨️ SELECT and FROM
⌨️ Transform columns with SELECT
⌨️ The order of arithmetic operations
⌨️ The WHERE filter
⌨️ Boolean algebra
⌨️ DISTINCT
⌨️ Create BigQuery tables from queries
⌨️ UNION 1
⌨️ UNION 2
⌨️ UNION 3
⌨️ UNION 4
⌨️ ORDER BY
⌨️ LIMIT
⌨️ CASE
⌨️ Simple aggregations
⌨️ Subqueries 1
⌨️ Subqueries 2
⌨️ Subqueries 3
⌨️ Nested queries
⌨️ Common table expressions 1
⌨️ Common table expressions 2
⌨️ Common table expressions 3
⌨️ Joins
⌨️ GROUP BY And Aggregations
⌨️ Window Functions
⌨️ Putting It All Together
⌨️ Let's Solve A Hard SQL Challenge!
⌨️ PostgreSQL Exercises - Introduction
⌨️ PostgreSQL Exercises - Basic
⌨️ PostgreSQL Exercises - Joins and Subqueries
⌨️ PostgreSQL Exercises - Aggregations Pt. 1
⌨️ PostgreSQL Exercises - Aggregations Pt. 2
⌨️ PostgreSQL Exercises - Conclusion