Course Description:
This course provides a comprehensive introduction to Structured Query Language (SQL), the standard language for managing and manipulating databases. Participants will learn how to write SQL queries to retrieve, filter, and analyze data from relational databases. The course combines theoretical concepts with practical exercises to ensure that students gain hands-on experience in using SQL for real-world data analysis.
Course Highlights:
- Introduction to SQL: Overview of SQL syntax, history, and applications in data management and analysis.
- Database Concepts: Understanding relational databases, tables, relationships, and key concepts such as primary keys and foreign keys.
- Basic SQL Queries: Learn to write basic SQL queries to select, filter, and sort data using commands like SELECT, WHERE, and ORDER BY.
- Data Aggregation and Grouping: Use aggregate functions (SUM, AVG, COUNT, etc.) and GROUP BY clause to perform data summarization.
- Joins and Subqueries: Master different types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN) and use subqueries to handle complex data retrieval.
- Data Manipulation: Learn to insert, update, and delete data in databases using INSERT, UPDATE, and DELETE statements.
- Advanced SQL Techniques: Explore advanced SQL features such as window functions, CTEs (Common Table Expressions), and stored procedures.
- Database Design and Normalization: Understand the principles of database design, normalization, and creating efficient database schemas.
- SQL Best Practices: Tips for writing efficient and optimized SQL queries, ensuring data integrity, and maintaining database performance.
Key Learning Objectives:
- Understand the fundamental concepts of relational databases and SQL
- Write SQL queries to retrieve, filter, and manipulate data
- Perform data aggregation and analysis using SQL functions
- Use joins and subqueries to handle complex data retrieval scenarios
- Implement data manipulation operations to maintain databases
- Apply best practices for efficient and optimized SQL querying
