Applied SQL For Data Analytics / Data Science With BigQuery

Applied SQL For Data Analytics / Data Science With BigQuery

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.

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

Url: View Details

What you will learn

• SQL 101: The basics (SELECT, WHERE, HAVING, JOIN's, dealing with dates and timestamps)
• SQL 202: Date Handling, CASE statements, Common Table Expressions, Subqueries, Correlated Subqueries
• Develop clear models of translating business requirements to SQL

Rating: 4.65441

Level: Beginner Level

Duration: 10.5 hours

Instructor: Jeff James