Introduction to SQL

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Duration 5 days – 35 hrs

 

Overview

 

The Introduction to SQL Training Course is designed to provide participants with a comprehensive understanding of SQL (Structured Query Language) and its applications in relational databases. This course is ideal for individuals seeking foundational SQL skills for database management, data analysis, and application development. The training includes theoretical concepts, hands-on exercises, and real-world use cases to ensure practical learning.

 

Objectives

 

  • Understand database fundamentals and SQL concepts.
  • Write basic and advanced SQL queries for data retrieval.
  • Perform data manipulation using SQL commands (INSERT, UPDATE, DELETE).
  • Work with multiple tables using JOINs and subqueries.
  • Apply aggregate functions and create SQL reports.

 

Audience

 

  • Beginners with no prior SQL experience.
  • Data analysts and business professionals working with databases.
  • Software developers needing SQL skills for applications.
  • IT professionals responsible for database management.
  • Business intelligence (BI) professionals handling reports and queries.
  • Students and career changers looking to develop SQL expertise.

 

Pre- requisites 

  • Basic knowledge of computers.
  • Familiarity with spreadsheets or databases is helpful but not required.

Course Content

 

SQL Fundamentals & Data Retrieval

 

Module 1: Introduction to Databases and SQL

 

  • What is a database?
  • Types of databases (Relational vs. NoSQL).
  • Understanding DBMS (MySQL, PostgreSQL, SQL Server, Oracle).
  • SQL components: DDL, DML, DCL, TCL.
  • Setting up a database environment (Hands-on).

 

Module 2: Writing Basic SQL Queries

 

  • SELECT statement: Retrieving data.
  • Filtering data with WHERE clause.
  • Sorting data with ORDER BY.
  • Using DISTINCT to remove duplicates.
  • Hands-on Lab: Writing basic SELECT queries on sample databases.

 

Working with Data & Multiple Tables

 

Module 3: Advanced Data Filtering and Functions

 

  • Using BETWEEN, IN, LIKE, IS NULL for filtering.
  • Using Mathematical and String Functions.
  • Understanding Aliases and Data Type Conversion.

 

Module 4: Combining Data with JOINs

 

  • Understanding Primary Keys and Foreign Keys.
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN.
  • SELF JOIN and CROSS JOIN explained.
  • Hands-on Lab: Writing JOIN queries for real-world data scenarios.

Data Manipulation & Aggregation

 

Module 5: Data Modification (DML Commands)

 

  • INSERT INTO: Adding new records.
  • UPDATE: Modifying existing data.
  • DELETE: Removing records safely.
  • Using TRANSACTIONS: COMMIT, ROLLBACK for data integrity.

 

Module 6: Aggregating Data for Reports

 

  • Using COUNT, SUM, AVG, MIN, MAX functions.
  • Grouping data with GROUP BY.
  • Filtering groups with HAVING.
  • Working with Subqueries and Nested Queries.
  • Hands-on Lab: Writing DML queries and creating basic reports.

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