Running marketing Marketing data and SQL recap

91. Marketing data and SQL recap

Woooo hooooo ๐Ÿพ ๐ŸŽŠ ๐Ÿš€ Weโ€™ve finished the second chapter, Iโ€™m so glad youโ€™ve reached it here and I hope you feel so much power from your knowledge ๐Ÿ™ By now, weโ€™ve not only covered how the data works in marketing, but also weโ€™ve learned the two most fundamentals techniques in data analysis: grouping & counting and grouping & summing.

Letโ€™s recap what weโ€™ve learned in the 2nd chapter:

OR

Combination of OR and AND operators allows us to build powerful filters for our queries:

SELECT COUNT(*) FROM users WHERE (country = 'ca' OR country = 'gb') AND...Run query
โ€œwell worth the moneyโ€
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Anatoli Makarevich, author of SQL Habit About SQL Habit

Hi, itโ€™s Anatoli, the author of SQL Habit. ๐Ÿ‘‹

SQL Habit is a course (or, as some of the students say, โ€œbusiness simulatorโ€). Itโ€™s based on a story of a fictional startup called Bindle. Youโ€™ll play a role of their Data Analyst ๐Ÿ“Š and solve real-life challenges from Business, Marketing, and Product Management.

SQL Habit course is made of bite-sized lessons (youโ€™re looking at one atm) and exercises. They always have a real-life setting and detailed explanations. You can immediately apply everything youโ€™ve learned at work. ๐Ÿš€

โ€œwell worth the moneyโ€

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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:
ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”ื”
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Schema visualization

All databases on SQL Habit are built with PostgreSQL.

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