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SQL & Database Design Mastery: Advanced Practice Exams

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Master data extraction with 200 scenarios on complex Joins, Window Functions, CTEs, and query optimization techniques.
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1/5
(67) Ratings
100 students
Created by Himanshu Kaushik
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What you'll learn

  • Write complex SQL queries utilizing advanced structural elements, including Common Table Expressions (CTEs), Subqueries, and multi-table Joins.
  • Perform advanced analytical reporting directly within the database engine using Window Functions (ROW_NUMBER, RANK, OVER) and GROUP BY aggregations.
  • Architect robust relational databases by applying normalization principles (1NF, 2NF, 3NF) and establishing referential integrity via Primary/Foreign Keys.
  • Optimize slow-running queries by designing effective indexing strategies (Clustered vs. Non-Clustered) and analyzing query execution plans.
This course includes:
200 questions on-demand video
0 articles
0 downloadable resources
0 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • A basic understanding of what a database is (rows and columns). Familiarity with writing introductory SELECT statements is highly recommended before tackling these advanced scenarios.

Description

Data is only valuable if you can extract it efficiently. Welcome to the SQL & Database Design Mastery practice assessments! In today’s tech landscape, relying on spreadsheets to handle millions of rows of data is impossible. Companies require professionals who can interact directly with relational databases to pull exact metrics without crashing the server. This comprehensive practice test course provides you with 200 expertly crafted, highly unique practice questions designed to simulate the rigorous technical assessments given during data science and backend engineering interviews.

Across these four rigorous practice exams, you will be thrown into high-stakes data environments. You will test your ability to manage massive databases of government job recruitment applicants, optimize slow-running queries for high-traffic web portals, and extract actionable insights from complex university business analytics datasets. The questions push you to evaluate architectural trade-offs: When should you use a CTE instead of a Subquery? Why is a LEFT JOIN producing duplicate rows in your report? How do you use a Window Function to calculate a running total for a fintech mutual fund portfolio?

Every single question in this course is unique and includes a detailed explanation of the “why” behind the correct SQL syntax. By reviewing these explanations, you will learn industry-standard methodologies for writing clean, optimized code that leverages the full power of the relational engine. If you are preparing for a technical SQL interview, transitioning into data analytics, or want to stop relying on others to pull your data, this is your ultimate testing ground. Enroll today and master the query!

Course locale: English (US)

Course instructional level: Intermediate & Advanced Level

Course category: IT & Software

Course subcategory: Database Design & Development

Who this course is for:

  • Aspiring Data Analysts, Business Intelligence professionals, Backend Developers, and Data Scientists who need to extract actionable insights from large relational databases (MySQL, PostgreSQL, SQL Server).
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