In today's data-centric landscape, SQL (Structured Query Language) is indispensable for managing and analyzing data.
In today's data-centric landscape, SQL (Structured Query Language) is indispensable for managing and analyzing data. This comprehensive course covers the basics of SQL, advancing to intermediate topics, enabling participants to efficiently create, manipulate, and query databases. Through practical exercises and real-world scenarios, attendees will develop robust SQL skills for data analytics, database administration, and software development.
Grasp the fundamental concepts of databases and SQL.
Create, manage, and query relational databases.
Utilize SQL functions and operators for advanced data analysis.
Optimize database performance and ensure data integrity.
Implement intermediate SQL techniques, including advanced querying, transactions, and database security.
Apply SQL skills to real-world problems and case studies.
Day 1
Introduction to Databases and SQL
Overview of databases and their importance
Introduction to relational databases
Understanding SQL and its role in database management
Setting up a database environment (installation and configuration)
Basic SQL syntax and structure
Creating and managing tables
Hands-on exercises
Day 2
SQL Data Retrieval and Manipulation
Writing basic SQL queries
Using SELECT, FROM, WHERE, and ORDER BY clauses
Filtering data with WHERE conditions
Sorting and limiting result sets
Inserting, updating, and deleting data
Practical examples and exercises
Day 3
Advanced SQL Query Techniques
Using joins to combine data from multiple tables
Inner joins, outer joins, and self-joins
Grouping and aggregating data with GROUP BY and HAVING clauses
Subqueries and nested queries
Using common SQL functions (e.g., COUNT, SUM, AVG, MIN, MAX)
Case studies and hands-on practice
Day 4
Database Design and Optimization
Principles of database design
Normalization and denormalization
Creating and using indexes
Understanding and optimizing query performance
Using views and stored procedures
Practical exercises on database optimization
Day 5
SQL in Practice and Security
Implementing transactions and ensuring data integrity
Handling database security and permissions
Backup and recovery strategies
Introduction to advanced topics (e.g., SQL triggers, user-defined functions)
Real-world scenarios and problem-solving
Final project: Designing and querying a sample database
Day 6
Advanced Data Retrieval and Functions
Advanced SELECT statements
Window functions (e.g., RANK, DENSE_RANK, ROW_NUMBER)
Advanced string functions and date/time manipulation
Using CASE statements for conditional logic
Hands-on exercises with complex queries
Day 7
Complex Joins and Subqueries
Advanced join techniques (e.g., cross joins, self-joins)
Advanced subquery techniques
Correlated subqueries
Common Table Expressions (CTEs)
Recursive queries
Practical examples and case studies
Day 8
Performance Tuning and Optimization
Analyzing query performance
Index strategies and optimization
Query execution plans
Tips for writing efficient SQL queries
Database maintenance tasks
Hands-on optimization exercises
Day 9
Transactions and Concurrency Control
Understanding transactions and ACID properties
Implementing transaction control (COMMIT, ROLLBACK, SAVEPOINT)
Managing concurrency with locks and isolation levels
Deadlocks and how to handle them
Practical exercises on transaction management
Day 10
Advanced Database Management and Security
Advanced security practices (e.g., roles, privileges)
Data encryption and secure access
Automating tasks with triggers and scheduled jobs
Advanced stored procedures and user-defined functions
Final project: Developing and managing a secure, optimized database
Review and Q&A
