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PostgreSQL Summary Stats and Window Functions
4.8(7,466)127k studentsINTERMEDIATEEnglish
Korshub's take
Editor's Take
Window functions are often considered SQL's most versatile analytics feature. This course moves beyond standard SELECT and GROUP BY statements to tackle complex data engineering challenges using PostgreSQL.
Who It's For
Ideal for intermediate SQL users looking to master advanced query techniques for business intelligence, data analysis, and data engineering.
Key Takeaways
- Compute moving averages, running totals, and positional rankings across partitions.
- Perform time intelligence calculations and clean duplicate data efficiently.
- Work through practical analytics queries built around real-world flight data.
About this course
Have you ever wondered how data professionals use SQL to solve real-world business problems, like generating rankings, calculating moving averages and running totals, deduplicating data, or performing time intelligence? If you already know how to select, filter, order, join and group data with SQL, this course is your next step. By the end, you will be writing queries like a pro! You will learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon! Using flights data, you will discover how simple it is to use window functions, and how flexible and efficient they are.
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
Price
Free
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