Advanced SQL & Database Design: Practice Exams

Advanced SQL & Database Design: Practice Exams – taught by Himanshu Kaushik – is a high‑impact Udemy course that helps you master enterprise‑grade SQL and relational design. If you search for a free advanced SQL course, SQL Udemy course, or learn database design online, this 2026‑updated training appears at the top of results. The program focuses on performance‑critical queries, normalization theory, indexing tactics, and real‑world practice exams that mirror the toughest technical interviews. Graduates leave with concrete skills to build scalable data pipelines and earn a Udemy certificate that validates their expertise.

What You'll Learn

• Build complex analytical queries using Window Functions such as RANK, DENSE_RANK, and ROW_NUMBER.
• Master Common Table Expressions (CTEs) and recursive CTE patterns for hierarchical data traversal.
• Learn the full set of normalization rules (1NF, 2NF, 3NF) to design databases that eliminate redundancy.
• Understand B‑Tree index internals and how to choose optimal indexing strategies for read‑heavy workloads.
• Create high‑performance stored procedures that protect against SQL injection and improve execution speed.
• Implement ACID transaction controls—COMMIT, ROLLBACK, SAVEPOINT—to manage concurrent data modifications safely.
• Apply advanced filtering techniques by distinguishing HAVING from WHERE clauses in aggregate queries.
• Analyze real‑world case studies from fintech, e‑commerce, and healthcare to translate theory into production‑ready solutions.

Course Details

• Instructor: Himanshu Kaushik
• Rating: 4.7 stars (based on student reviews)
• Level: Advanced
• Language: English (US)

What This Course Covers

Module 1 – Advanced Query Techniques

• Window Functions: RANK vs. DENSE_RANK, ROW_NUMBER, and their performance implications.
• Recursive CTEs for traversing organizational charts and bill‑of‑materials hierarchies.
• Pivot and UNPIVOT operations to reshape multi‑dimensional data sets.
• Practical tips for avoiding correlated subqueries that degrade query plans.

Module 2 – Deep Dive into Normalization

• Formal definitions of 1NF, 2NF, and 3NF with real‑world examples.
• Decomposition strategies to eliminate transitive dependencies.
• Mapping business rules to relational schemas for data integrity.
• Refactoring legacy tables into fully normalized designs without downtime.

Module 3 – Indexing & Performance Optimization

• Anatomy of B‑Tree indexes and how the optimizer leverages them.
• Creating covering indexes and filtered indexes for selective workloads.
• Diagnosing slow queries with EXPLAIN plans and index usage statistics.
• When to prefer hash indexes, columnstore indexes, or no index at all.

Module 4 – Transaction Management & Security

• Detailed walkthrough of ACID properties in modern RDBMS engines.
• Implementing explicit transaction blocks with COMMIT, ROLLBACK, and SAVEPOINT.
• Using stored procedures and parameterized queries to mitigate SQL injection.
• Concurrency control techniques: row‑level locking, isolation levels, and deadlock avoidance.

Module 5 – Real‑World Practice Exams

• Four full‑length, scenario‑based practice tests covering fintech, e‑commerce, healthcare, and SaaS domains.
• 200 realistic questions that mirror the difficulty of top‑tech interview assessments.
• Immediate feedback explanations that clarify why each answer is correct.
• Strategies for time‑boxed exam environments and effective answer elimination.

Who Should Take This Course

• Data analysts who need to move beyond simple SELECT statements into high‑performance analytics.
• Back‑end software engineers responsible for designing and optimizing relational databases.
• Data engineers preparing for technical screens that focus on database architecture and query efficiency.
• Database administrators seeking advanced indexing and transaction‑control techniques.
• Professionals targeting senior‑level roles that require proven expertise in enterprise‑grade SQL.

Prerequisites

• Solid foundation in basic SQL syntax, including SELECT, INSERT, UPDATE, and DELETE statements.
• Familiarity with relational database concepts such as tables, primary keys, and foreign keys.
• Recommended: Experience with at least one major RDBMS (e.g., PostgreSQL, MySQL, SQL Server) to accelerate hands‑on practice.

Why Enroll in This Course

The curriculum delivers a focused, practice‑exam‑driven pathway that prepares you for the most demanding data‑engineering interviews. A free coupon provides a 100 % off discount for a limited time, making the advanced training accessible without financial risk. Because the material reflects current industry standards (2026), you gain a competitive edge over learners who rely on outdated tutorials. The course’s self‑paced format lets you study whenever you want while still receiving a Udemy certificate that signals mastery to employers.

Course Highlights

• Lifetime access to all video lectures, practice exams, and supplemental resources.
• Self‑paced learning that fits around full‑time jobs or graduate studies.
• Certificate of completion that can be added to LinkedIn, resumes, and professional portfolios.
• 30‑day money‑back guarantee for peace of mind if expectations are not met.
• Mobile‑friendly content allowing you to review concepts on smartphones or tablets.
• Real‑world case studies from fintech, e‑commerce, and healthcare that bridge theory and production.

Frequently Asked Questions

Q: Is this course really free?
A: Yes. By applying the current Udemy free coupon, you can enroll at 0 USD for a limited period. The discount applies automatically at checkout, so no additional steps are required.

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