HomeCoursesGrokking the SQL Interview Patterns
4.4

Intermediate

20h

Updated this week

Grokking the SQL Interview Patterns

Learn to identify repeatable SQL patterns, recognize common query structures, and confidently apply them to tackle complex SQL interview questions across data-centric roles.
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Prepare for roles like Data Scientist, AI/ML Engineer, Data Engineer, and Data Analyst by mastering the SQL patterns top tech companies expect. Solve real-world problems, apply proven strategies, and deepen your conceptual understanding to stand out in competitive interviews. Instead of focusing on syntax drills, this course teaches you to recognize structured SQL patterns, map them to real-world use cases, and tackle interview scenarios with clarity and precision. Strengthen your problem-solving skills by working through LeetCode-style challenges, analyzing business case studies, and implementing performance optimization techniques used across leading tech firms, fintech startups, and data-driven organizations.
Prepare for roles like Data Scientist, AI/ML Engineer, Data Engineer, and Data Analyst by mastering the SQL patterns top tech co...Show More

WHAT YOU'LL LEARN

An understanding of SQL patterns and their application to solving real-world data problems
A working knowledge of SQL, pattern-based structuring, and problem decomposition
Hands-on experience writing optimized and reusable SQL queries using pattern recognition techniques
The ability to analyze and select appropriate patterns using SQL to solve complex data scenarios
Familiarity with core components of SQL, including aggregations, joins, subqueries, filtering, and window functions
The ability to approach SQL interview problems confidently using a structured, pattern-driven mindset
An understanding of SQL patterns and their application to solving real-world data problems

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Content

1.

Get Started

5 Lessons

Master SQL query patterns to enhance problem-solving and data analysis skills.

2.

Aggregation Patterns

4 Lessons

Master SQL patterns for data analysis, focusing on counting, categorizing, and cumulative metrics.

3.

Filtering Patterns

5 Lessons

Master essential SQL patterns for data integrity, filtering, and analysis.

4.

Comparison Patterns

4 Lessons

Master advanced SQL techniques for effective data comparison and analysis.

5.

Sequencing and Hierarchical Patterns

5 Lessons

Master essential SQL patterns for effective data analysis and technical interviews.

6.

Transformation Patterns

2 Lessons

Master data transformation techniques using Pivot Flip for effective SQL analysis.

7.

Wrapping up

1 Lessons

Embrace SQL patterns to enhance problem-solving and query effectiveness.
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Developed by MAANG Engineers
Every Educative lesson is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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