learn SQL
6 months
(3 hours/day)
44 students/ class
₹ 45,000
(Books are included)
course syallabus
Introduction
SQL (Structured Query Language) is the standard language used to interact with
relational databases. It enables users to manage, manipulate, and query data
efficiently. SQL is fundamental for data analysts, developers, and anyone working
with databases, as it allows them to retrieve, update, and manage data stored in
relational database systems such as MySQL, PostgreSQL, Oracle, and Microsoft SQL
Server.
This course offers a comprehensive guide to SQL, covering everything from basic
queries to advanced topics like joins, subqueries, and optimization techniques.
Participants will learn how to create and manage databases, write SQL queries,
and perform data manipulation and retrieval tasks. By the end of the course,
participants will have the skills to design, implement, and query databases
effectively, providing valuable insights for data-driven decision-making
in any organization.
Objectives
After this course student will be able to:
- Understand the basics of SQL and relational database management systems (RDBMS).
- Learn how to create, modify, and manage database schemas.
- Master basic SQL queries for data retrieval (SELECT, WHERE, ORDER BY).
- Understand and use SQL functions for data aggregation (SUM, AVG, COUNT, etc.).
- Learn how to join multiple tables using INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Understand subqueries and how to use them effectively in SQL queries.
- Gain proficiency in grouping and filtering data with GROUP BY and HAVING.
- Learn to write complex queries involving nested queries and multiple conditions.
- Understand how to optimize queries for better performance.
- Implement data integrity and constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE).
Certification
Upon successful completion of the course and final assessment, participants will receive an SQL Certification. This certification is widely recognized and valuable for anyone looking to pursue careers in data analysis, database administration, or backend development.
Who can apply for this course?
- Data analysts and data scientists who work with databases.
- Software developers interested in backend development and database management.
- Business analysts who need to extract insights from large datasets.
- IT professionals looking to expand their database management skills.
- Students or graduates looking to gain practical knowledge in SQL for future roles.
- Anyone interested in working with data stored in relational databases.
Training Methodology
- Instructor-Led Sessions: Live classes covering both theoretical concepts and practical applications.
- Hands-On Practice: Real-life exercises to help participants build SQL queries and interact with databases.
- Case Studies: Explore real-world use cases and industry examples of SQL in action.
- Assessments: Regular quizzes and assignments to test understanding and reinforce learning.
- Capstone Project: Design and implement a database solution for a business use case.
- Tool Training: Learn to work with database tools like MySQL Workbench, PostgreSQL, and SQL Server Management Studio (SSMS).
