
Structured Query Language
Description
The SQL course is designed to teach learners how to effectively manage and manipulate data using Structured Query Language (SQL), the standard language for interacting with relational databases. The course covers key concepts such as creating and managing databases, writing queries to retrieve and filter data, using joins to combine data from multiple tables, and performing data aggregation and analysis. It provides hands-on practice with real-world datasets, helping students build a strong foundation in database management.
Ideal for beginners as well as professionals looking to strengthen their data skills, this course emphasizes practical application through interactive exercises and projects. Learners will gain the ability to write complex queries, optimize database performance, and understand data relationships within systems. By the end of the course, students will be equipped to work confidently with databases, making them valuable assets in roles like Data Analyst, Database Administrator, or Backend Developer.
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LevelAll Levels
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Last Updated04/07/2025
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CertificateCertificate of completion
Demo Lecture
Course Curriculum
COURSE INSTRUCTION
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Read Before You Start
LETS GET STARTED
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Module 1 – Introduction to Relational Databases and SQL
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Fundamentals Of Databases
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Relational Database Concepts
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Overview of SQL
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Installing MYSQL
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Writing SQL Queries
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Select, Insert And Update
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Delete command
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Operators And Wildcards
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Aggregation And SQL Clauses
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Module 2 – SQL Operations Across Databases
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Constraints in SQL
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Joins in SQL
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Practice Questions On Joins
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Subqueries in SQL
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Practice On Subqueries
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Module 3 – Advanced SQL Concepts
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Views in SQL
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Indexes in SQL
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Practice on Views and Indexes
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Transactions in SQL
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Error handling in SQL
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Module 4 – Database-Specific Features
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Part 1 – MySQL Advance Features
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Part 2 – MySQL Advance Features
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Part 1 – Advance Features of PostgreSQL
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Part 2 – Advance Features of PostgreSQL
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Oracle Advance Features
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Module 5 – SQLite and Lightweight Databases
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Intro to SQLite and Setting up a Simple APP
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JSON And Optimizing Queries
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Module 6 – Python Connectivity with Databases
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Setting Up Connection
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CRUD Operations
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Python with PostgreSQL
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Error Handling
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Python with Sqlite3
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Module 7 – Integration Projects and Optimization
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Integration With Two Databases
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MySQL And PostgreSQL
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MySQL And SQLite
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PostgreSQL And SQLite
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Query Execution Plans and Optimizing Queries
PROJECT
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Project
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Part 1 – Introduction and live demonstration
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Part 2 – Installation, Project Structure and Database Setup
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Part 3 – Setting up Home Page and Interaction with MySQL
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Part 4 – Synchronization
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Part 5 – Setting up Final Routes and Conclusion
MOCK INTERVIEW QNA
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SQL Mock Interview Question And Answer
PROJECT SUBMISSION (OPTIONAL)
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Project Submission
Certificate you will get
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

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LevelAll Levels
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Last Updated04/07/2025
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CertificateCertificate of completion