This Introduction to SQL training is designed to help participants build a strong foundation in Structured Query Language (SQL) for working with relational databases. The course covers SQL fundamentals, querying data, filtering, sorting, joins, aggregations, and basic database concepts. Participants will gain hands-on experience to write SQL queries confidently for data analysis, reporting, and application development.

• Understand the fundamentals of SQL, relational databases, and database management concepts.
• Create, modify, and manage database tables, schemas, and relationships effectively.
• Write SQL queries to retrieve, filter, sort, and analyze data from databases.
• Perform data insertion, updates, deletions, and data manipulation operations efficiently.
• Use joins, aggregate functions, subqueries, and grouping techniques for data analysis.
• Build a strong foundation for database development, reporting, and data-driven decision-making using SQL best practices.

 • Beginners in data and databases
 • Business analysts and reporting professionals
 • Application developers new to SQL
 • Students and professionals starting with databases
 • Professionals transitioning into data roles

 • Basic computer operation skills
 • Familiarity with data concepts is helpful
 • No prior SQL experience required

 • Writing basic and intermediate SQL queries
 • Retrieving and filtering data
 • Using joins to combine tables
 • Performing aggregations and grouping
 • Sorting and limiting result sets
 • Understanding relational database concepts
 • Creating simple database objects
 • Applying SQL best practices

By the end of this training, participants will be able to write effective SQL queries to retrieve, analyze, and manage data in relational databases. Learners will gain strong fundamentals in querying, joins, and aggregations, enabling them to support data analysis, reporting, and application development tasks.

Introduction to Databases & SQL Basics
 • What is a relational database
 • Database tables, rows, and columns
 • Introduction to SQL and its uses
 • Setting up SQL environment

Basic SQL Queries
 • SELECT statements
 • Filtering with WHERE clause
 • Sorting with ORDER BY
 • Limiting results

Working with Multiple Tables
 • Understanding primary and foreign keys
 • INNER JOIN basics
 • LEFT and RIGHT JOIN overview
 • Combining data from multiple tables

Aggregations & Grouping
 • COUNT, SUM, AVG, MIN, MAX
 • GROUP BY clause
 • HAVING clause basics
 • Aggregated reporting

Advanced Filtering & Functions
 • LIKE and pattern matching
 • IN and BETWEEN
 • String and date functions
 • Handling NULL values

Subqueries & Derived Tables
 • Writing subqueries
 • Using subqueries in WHERE clause
 • Correlated subqueries basics
 • Derived tables and aliases

Database Objects & Data Modification
 • INSERT, UPDATE, DELETE statements
 • Creating and altering tables
 • Basic indexes overview
 • Constraints basics

Views & Simple Reporting
 • Creating views
 • Using views for reporting
 • Simplifying complex queries
 • Best practices for reusable queries

SQL Best Practices & Performance Basics
 • Writing readable SQL
 • Query optimization basics
 • Index usage overview
 • Common SQL mistakes

• SQL Fundamentals & Database Concepts Assessment
• Data Querying & Filtering Assessment
• Data Manipulation Assessment
• Joins, Functions & Aggregation Assessment
• Database Design & Query Project Assessment

Participants will be evaluated through hands-on SQL labs, practical query writing exercises, instructor-led reviews, and a final assessment focused on building and executing real-world SQL queries.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to SQL. This digital, verifiable certification validates practical SQL querying, relational database fundamentals, and data analysis skills and can be shared on LinkedIn and included in professional profiles to enhance data and analytics career credibility.