What you'll learn:
- SQL 101: The basics (SELECT, WHERE, HAVING, JOIN's, dealing with dates and timestamps)
- [NEW] Google Analytics 4 and BigQuery - Master the data model and attribution
- SQL 202: Date Handling, CASE statements, Common Table Expressions, Subqueries, Correlated Subqueries
- Develop clear models of translating business requirements to SQL
- Master Window / Analytic Functions, which are the power tools of modern data-science SQL
- 100% of videos are code along and provide numerous points to stop and "solve it" before me.
Woah, another SQL course? Yes! Here's why this one is different.
We write 100% of the code together and Iexplain everything precisely and with abundant context. Ihave over a decade of industry experience over have taught this at the university level.
100% we do is application based. Irarely use toy data to illustrate points, unless it's more illustrative. Hopefully you'll learn much more than SQL throughout the course.
ZEROSET-UP. As long as you have a Google Account, you can login to BigQuery and get started immediately. No headaches configuring databases locally. You'll be up and running in under 3 minutes.
Spaced repetition to develop mastery. This is NOT a table of contents course. This is NOT a list of disparate exercises. Everything is connected. Concepts are revisited throughout the course so you can see them from different angles and maximize understanding.
Can you solve it? Iprovide tons of mini-challenges throughout the lecture material. The lecture material is basically us solving the problems. No time wasted on theory without context.
I'm not boring. Iam human. I do make mistakes. I dwell on them so you can master the debugging process. Debugging is much more important than writing code.
