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SQL Window Functions for Data

This course is part of SQL at Scale: Querying, Transforming, and Governing Specialization

Instructor: Hurix Digital

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Window functions enable complex analytical calculations while preserving row-level detail, essential for time-series analysis.
OVER() clause with PARTITION BY and ORDER BY provides precise control over analytical windows for data segmentation.
Rolling calculations and ranking functions solve business problems that traditional aggregate functions cannot address.
Mastery of window function syntax unlocks advanced analytical capabilities fundamental to modern data engineering.

Skills you'll gain

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Build your subject-matter expertise

This course is part of the SQL at Scale: Querying, Transforming, and Governing Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Master the power of SQL window functions to unlock advanced analytical capabilities in your data engineering workflow. This course transforms beginners into confident practitioners who can compute rolling averages, assign rankings, and perform complex calculations while preserving row-level detail.

This Short Course was created to help data engineering professionals accomplish sophisticated analytical queries that traditional GROUP BY statements simply cannot handle. By completing this course, you'll be able to define analytical windows using OVER() clauses, compute 7-day rolling sales metrics, create dynamic leaderboards with ranking functions, and build time-series analysis queries that you can deploy immediately in production environments. By the end of this course, you will be able to: Apply SQL window functions to compute rolling and rank-based metrics This course is unique because it focuses on hands-on application with real-world scenarios from data engineering practice, using the exact ROW_NUMBER() and AVG() OVER patterns that professionals use daily. To be successful in this course, you should have basic SQL knowledge and experience with data analysis concepts.

Module details

Learners will establish foundational understanding of SQL window functions, master the OVER() clause syntax, and implement basic window function queries for analytical calculations.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videosTotal 16 minutes

Why Window Functions Transform Data Engineering Analytics3 minutes
Introduction to Window Functions and the OVER() Clause7 minutes
PARTITION BY and ORDER BY Fundamentals6 minutes

1 readingTotal 10 minutes

Window Function Syntax and Essential Components10 minutes

1 assignmentTotal 3 minutes

Window Function Fundamentals Assessment3 minutes

1 ungraded labTotal 20 minutes

SQL Window Functions for Rolling and Ranking Analytics20 minutes

Learners will master advanced window function applications including rolling calculations, ranking functions, and comprehensive analytical implementations that mirror production data engineering workflows.