Applied SQL For Data Analytics / Data Science With BigQuery

Go from SQL Zero to Hero and develop rich mental models for writing sophisticated SQL statements & solving problems.

Ratings: 4.57 / 5.00




Description

Woah, another SQL course? Yes! Here's why this one is different.

  1. We write 100% of the code together and I explain everything precisely and with abundant context. I have over a decade of industry experience over have taught this at the university level.


  2. 100% we do is application based. I rarely use toy data to illustrate points, unless it's more illustrative. Hopefully you'll learn much more than SQL throughout the course.


  3. ZERO SET-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.


  4. 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.


  5. Can you solve it? I provide tons of mini-challenges throughout the lecture material. The lecture material is basically us solving the problems. No time wasted on theory without context.


  6. I'm not boring. I am human. I do make mistakes. I dwell on them so you can master the debugging process. Debugging is much more important than writing code.



What You Will 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.

Who Should Attend!

  • People with at least some SQL experience (you can write simple SELECT statements)
  • Aspiring data scientists or data scientists who don't leverage SQL
  • Data analysts
  • Product managers who want to get better with DIY analysis.
  • Developers who are interested in SQL!
  • People interested in BigQuery that already know some SQL.
  • Analysts needing to ramp up on GA4 BigQuery