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URL: https://www.coursera.org/learn/mastering-advanced-sql-queries

⇱ Mastering Advanced SQL Queries | Coursera

Mastering Advanced SQL Queries

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Mastering Advanced SQL Queries

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
6 hours to complete
Flexible schedule
Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

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Assessments

3 assignments

Taught in English

Build your subject-matter expertise

This course is part of the SQL for Data Analysis and Business Insights Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course

This course elevates your SQL capabilities from intermediate to advanced through progressive mastery of sophisticated query techniques and cutting-edge AI optimization methods. Beginning with powerful nested queries and Common Table Expressions, you'll build toward implementing AI-assisted approaches that dramatically enhance query performance and design. Through hands-on labs, interactive dialogues, and challenging assessments, you'll develop the advanced SQL toolkit needed for complex data analysis in modern enterprise environments.

Upon completion, you'll be able to: • Design and implement sophisticated data retrieval solutions using subqueries, CTEs, and window functions • Leverage generative AI tools to optimize complex SQL queries for improved performance • Refactor inefficient queries into more elegant, maintainable solutions using advanced SQL patterns • Apply both traditional and AI-enhanced optimization techniques to solve complex data challenges

This module explores sophisticated SQL query patterns that enable complex data analysis beyond basic operations. You'll master subqueries and nested queries for multi-level data processing, then advance to Common Table Expressions (CTEs) and window functions that streamline complex logic and enable advanced analytical capabilities. Through hands-on labs and practical challenges, you'll learn when and how to apply these powerful techniques to solve real-world data problems more elegantly and efficiently.

What's included

3 readings1 assignment3 ungraded labs

3 readings•Total 30 minutes
  • Course Overview•10 minutes
  • Lab Video Transcripts•10 minutes
  • Exploring Advanced Query Patterns•10 minutes
1 assignment•Total 30 minutes
  • Knowledge Check: Subqueries, CTEs, and Window Functions•30 minutes
3 ungraded labs•Total 180 minutes
  • Ungraded Lab: Subqueries Lab•60 minutes
  • Ungraded Lab: CTEs in Practice •60 minutes
  • Ungraded Lab: CTE Refactoring Challenge•60 minutes

This module explores the cutting-edge intersection of artificial intelligence and advanced SQL, teaching you how to leverage generative AI tools to enhance query performance and design. You'll experience hands-on practice with AI-assisted query optimization techniques, participate in guided discussions about effective AI implementation strategies, and reinforce your learning through comprehensive knowledge checks. The module culminates in a challenging assessment that tests your ability to apply both traditional and AI-enhanced query optimization methods to complex data problems.

What's included

2 readings2 assignments1 ungraded lab

2 readings•Total 20 minutes
  • Advanced SQL Techniques: A Comprehensive Review•10 minutes
  • Congratulations and Next Steps•10 minutes
2 assignments•Total 60 minutes
  • Knowledge Check: Advanced SQL Techniques •30 minutes
  • Graded Assessment: Advanced Query Techniques•30 minutes
1 ungraded lab•Total 60 minutes
  • AI-Assisted Query Optimization•60 minutes

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Frequently asked questions

In this course, advanced SQL querying means solving more complex data questions by structuring queries with techniques like subqueries, Common Table Expressions, and window functions. The focus is on writing SQL that handles multi-step logic while staying readable, maintainable, and easier to optimize.

You would use advanced SQL querying when a problem goes beyond a simple filter, join, or group-by and needs layered logic or calculations across related rows. In this course, it is used for complex data analysis and for improving queries that are correct but inefficient or hard to manage.

It fits into the middle of analysis work, after you understand the data question and before you rely on the results for deeper analysis or decisions. The course treats it as the stage where you organize complex logic, test different query patterns, and refine performance.

Basic SQL querying usually handles straightforward selection, filtering, and grouping, while advanced SQL querying is built for layered logic and calculations across related result sets. In this course, that difference shows up in using constructs like subqueries, CTEs, and window functions to solve problems more cleanly than a simple one-step query.

A basic understanding of SQL is helpful, especially being able to read and write simple queries. The course is labeled beginner, but its emphasis is on moving from basic SQL toward more complex query design and optimization.

The course centers on SQL, with advanced query patterns and generative AI tools used to analyze and optimize query structure. The main methods are multi-step query design with subqueries or CTEs and analytical calculations with window functions.

You will practice writing nested queries, breaking complex logic into clearer query parts, using window functions for ranking and related row analysis, and refactoring inefficient SQL into cleaner patterns. You will also compare your own SQL with AI-generated suggestions so you can evaluate and improve query structure and performance.

Financial aid available,