Fundamentals of Data Analysis Comparing dates and datetimes

36. Comparing dates and datetimes

So far we’ve been using the signup_date column in the users table to filter data:

SELECT COUNT(*) FROM users WHERE signup_date BETWEEN '2018-01-01' AND '2018-01-07' 

As you remember, signup_date is simply a date when a user signed up (in other words, when a record in the users table was created). The signup timestamp is stored inside the created_at column which has type datetime. We can use the created_at column for our filter the same way:

SELECT COUNT(*) FROM users WHERE created_at BETWEEN '2018-01-01' AND '2018-01-07' 

SQL will figure out that...

“well worth the money”
Sign up and check out 36 free lessons and exercises.

Anatoli Makarevich, author of SQL Habit About SQL Habit

Hi, it’s Anatoli, the author of SQL Habit. 👋

SQL Habit is a course (or, as some of the students say, “business simulator”). It’s based on a story of a fictional startup called Bindle. You’ll play a role of their Data Analyst 📊 and solve real-life challenges from Business, Marketing, and Product Management.

SQL Habit course is made of bite-sized lessons (you’re looking at one atm) and exercises. They always have a real-life setting and detailed explanations. You can immediately apply everything you’ve learned at work. 🚀

“well worth the money”

Fluent in SQL in a month

Master Data Analysis with SQL with real life examples from Product Management, Marketing, Finance and more.
-- Type your query here, for example this one -- lists all records from users table: SELECT * FROM users
Loading chart... ⏳