Sql Training in Shimla

Module 1: Introduction to Databases and SQL

What is a Database?

• Introduction to databases and their importance
• Types of databases: Relational, NoSQL, etc.

Introduction to SQL

• History and purpose of SQL
• Basic SQL terminology (tables, rows, columns, etc.)

Setting Up SQL Environment

• Installing database management systems (e.g., MySQL, PostgreSQL)
Installing SQL clients (e.g., MySQL Workbench, pgAdmin)

Module 2: SQL Basics

SQL Data Types

• Common data types (e.g., INT, VARCHAR, DATE)
• Choosing the right data type for columns

Creating and Managing Tables

• Creating tables using CREATE TABLE
• Altering tables using ALTER TABLE
• Deleting tables using DROP TABLE

Inserting and Manipulating Data

• INSERT, UPDATE, and DELETE statements
• Understanding SQL transactions

Module 3: Querying Data

SELECT Statement

• Retrieving data from tables
• Using SELECT DISTINCT and aliases

Filtering and Sorting Data

• WHERE clause for filtering
ORDER BY clause for sorting

Aggregate Functions

• SUM, AVG, COUNT, MIN, MAX
• GROUP BY and HAVING clauses

Module 4: Joins and Relationships

Understanding Relationships

• Primary keys and foreign keys
• Types of relationships: one-to-one, one-to-many, many-to-many

INNER JOIN and OUTER JOIN

• Joining tables to retrieve related data
• LEFT JOIN, RIGHT JOIN, FULL JOIN

Subqueries

• Using subqueries to retrieve data
• Correlated subqueries

Module 5: Advanced SQL Concepts

Indexes and Performance Optimization

• Creating and managing indexes
• Query optimization techniques

Views

• Creating and using views
• Advantages of using views

Stored Procedures and Functions

• Creating and executing stored procedures
• Creating and executing user-defined functions

Module 6: Transactions and Concurrency

Transactions

• ACID properties
• Managing transactions using COMMIT and ROLLBACK

Locking and Concurrency Control

• Understanding locks and their types
• Handling concurrent database access

Module 7: Security and Permissions

User Accounts and Permissions

• Creating and managing user accounts
• Granting and revoking privileges

SQL Injection Prevention

• Protecting against SQL injection attacks
• Best practices for secure coding

Module 8: Case Studies and Real-world Applications

Building SQL Applications

• Developing a simple web application with a database backend

Data Modeling

• Entity-Relationship Diagrams (ERD)
• Normalization techniques

Module 9: Reporting and Business Intelligence (Optional)

Introduction to Reporting Tools

• Using SQL for generating reports
• Integration with reporting tools like Tableau, Power BI, etc.

Module 10: NoSQL and Big Data (Optional)

Introduction to NoSQL databases

• Overview of popular NoSQL databases (e.g., MongoDB, Cassandra)

SQL in the context of Big Data

• Basics of working with large datasets

Module 11: Advanced Topics (Optional)

Window Functions

• Understanding window functions for advanced querying

JSON and XML Processing

• Working with JSON and XML data in SQL

Download Syllabus - Sql
This syllabus is not final and can be customized as per needs/updates