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Intermediate

10h

Certificate of Completion

SQL Interview Preparation—Intermediate Level

Master intermediate-level SQL concepts such as views, functions, indexes, and advanced data handling to confidently ace interviews for experienced SQL roles.

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Explanations

Adaptive Learning

AI-POWERED

Mock Interview

Explanations

This course includes

52 Lessons

181 Playgrounds

35 Quizzes

Course Overview

What You'll Learn

Course Content

Course Overview

Ready to stand out in your next SQL interview? This course is your ultimate guide to mastering intermediate—and advanced-level SQL concepts. It will help you write efficient queries and tackle even the toughest interview challenges. The course is designed for candidates with prior MySQL experience and takes you step-by-step through real-world SQL problems. You’ll start with database management basics like creating and deleting databases, then move on to important concepts such as views, aggregate functions...Show More

Ready to stand out in your next SQL interview? This course is your ultimate guide to mastering intermediate—and advanced-level S...Show More

What You'll Learn

An understanding of intermediate-level SQL interview questions

Working knowledge of combining SQL queries

Hands-on exercises to practice your skills

The ability to solve coding problems using different techniques

Familiarity with different SQL functions

An understanding of intermediate-level SQL interview questions

Course Content

Get Started

1 Lessons

Enhance your SQL skills through practical exercises and intermediate interview questions.

Introduction

Managing Databases

6 Lessons

Evaluate your skills in database creation, deletion, and cascading deletes in SQL.

Question: Creating a Database

Answer: Creating a Database

Question: Deleting a Database

Answer: Deleting a Database

Question: Cascading Delete

Answer: Cascading Delete

Views

4 Lessons

Test your skills in creating and managing SQL views for efficient data retrieval.

Question: Creating Views

Answer: Creating Views

Question: Creating Views with Aggregate Functions

Answer: Creating Views with Aggregate Functions

Indexes

4 Lessons

Enhance SQL performance through effective index creation and optimization strategies.

Question: Creating an Index

Answer: Creating an Index

Question: Creating Composite Index

Answer: Creating Composite Index

Stored Procedures

8 Lessons

Master stored procedures in SQL for efficient data management and updates.

Question: Creating a Stored Procedure

Answer: Creating a Stored Procedure

Question: Parameterized Stored Procedures

Answer: Parameterized Stored Procedures

Question: Update Using Stored Procedures

Answer: Update Using Stored Procedures

Question: Insert Using Stored Procedures

Answer: Insert Using Stored Procedures

Complex Data Handling

8 Lessons

Explore SQL techniques for string comparison, regular expressions, CASE statements, and CROSS JOINs.

Question: String Comparison

Answer: String Comparison

Question: Regular Expression

Answer: Regular Expression

Question: Using CASE

Answer: Using CASE

Question: Using CROSS JOIN

Answer: Using CROSS JOIN

Set Operators

6 Lessons

Master SQL set operators to efficiently combine, filter, and analyze data across multiple tables.

Question: UNION Set Operator

Answer: UNION Set Operator

Question: UNION ALL Set Operator

Answer: UNION ALL Set Operator

Question: Using INTERSECT

Answer: Using INTERSECT

Ranking and Analytic Functions

6 Lessons

Master SQL window functions to analyze and rank sales performance effectively.

Question: Using LAG() and LEAD()

Answer: Using LAG() And LEAD()

Question: Using RANK()

Answer: Using RANK()

Question: Using FIRST_VALUE(), LAST_VALUE(), and NTH_VALUE()

Answer: Using FIRST_VALUE(), LAST_VALUE(), and NTH_VALUE()

Window Functions

4 Lessons

Master aggregate window functions and JOINs for efficient SQL data analysis.

Question: Aggregate Window Function

Answer: Aggregate Window Function

Question: Using JOIN and Aggregate Window Functions

Answer: Using JOIN and Aggregate Window Function

10.

Subquery

4 Lessons

Master SQL subqueries, HAVING clauses, and aggregate functions for effective data analysis.

Question: Subquery with HAVING and Aggregate Functions

Answer: Subquery with HAVING and Aggregate Functions

Question: Nested Subquery with HAVING and Aggregate Functions

Answer: Nested Subquery with HAVING and Aggregate Functions

11.

Final Remarks

1 Lessons

Recap essential SQL interview topics and explore advanced learning resources.

Conclusion

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