Many companies store their information in relational databases. SQL (Structured Query Language) is the programming language used to manage and query (pull data from) relational databases.

How is SQL helpful for Marketers and Product Managers?

Marketers and <a href="https://www.codecademy.com/resources/blog/benefits-sql-for-non-technical-teams/">Product Managers with SQL skills</a> can dive into their company’s data for helpful insights into their customers and audiences. For example, you can use SQL to learn about how well your content performs with your audience or how well a product performs with a certain demographic. Plus, being able to query data can also help illustrate and report the impact of a campaign.

What industries use SQL?

Outside of tech, SQL has tons of applications in the sales, retail, banking, finance, shipping, entertainment, and customer service management industries — along with any other that produces and stores large volumes of information in databases.

What else should I study if I am learning SQL for marketing or product management?

If you want to take your data skills even further, you could try learning how to model and visualize your data with Python or R. Or you could read up on business intelligence tools that streamline reporting like Microsoft Excel or Tableau.

Course

Learn Intermediate SQL for Marketers and Product Managers

Perform data analysis on funnels, churn, and attribution. This course contains advanced SQL content for new Marketers and Product Managers.

This course includes

9,185 learners enrolled

This course includes

Skill level
Intermediate
Time to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary

3 hours
Projects
3
Prerequisites
1 course

We suggest you complete the following courses before you get started with Learn Intermediate SQL for Marketers and Product Managers:
Learn SQL

About this course

Once you have the SQL foundation you need, it’s time to apply those skills on-the-job. Designed for Marketers, Product Managers, Consultants, and Data Analysts, this course will teach you advanced techniques to work with data and frameworks specific to your career.

Syllabus

3 lessons • 3 projects

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