- What is SQL? A Brief Overview and History
- Setting Up a SQL Database and Development Environment
- Basic SQL Syntax: Writing Your First SQL Query
- Understanding Databases and Tables in SQL
- Selecting Data with the
SELECT Statement
- Filtering Data with
WHERE Clause
- Sorting Data with
ORDER BY Clause
- Using SQL Aliases for Columns and Tables
- Understanding SQL Data Types: Numeric, String, and Date Types
- Using the
DISTINCT Keyword for Unique Results
- Limiting Results with
LIMIT and OFFSET
- Aggregating Data with
COUNT(), SUM(), AVG(), MIN(), and MAX()
- Grouping Data with
GROUP BY Clause
- Filtering Groups with
HAVING Clause
- Basic String Functions in SQL:
CONCAT(), UPPER(), LOWER(), LENGTH()
- Date and Time Functions in SQL:
NOW(), DATE(), TIMESTAMP()
- Using Conditional Statements:
CASE, IFNULL()
- Joining Tables: Introduction to
INNER JOIN
- Understanding SQL Joins:
LEFT JOIN, RIGHT JOIN, and FULL JOIN
- Combining Results with
UNION and UNION ALL
- Subqueries: Using a Query Inside Another Query
- Correlated Subqueries in SQL
- The
IN and NOT IN Operators
- Using
EXISTS and NOT EXISTS in Subqueries
- Working with
ANY and ALL in SQL
- String Manipulation in SQL:
SUBSTRING(), REPLACE(), TRIM()
- Advanced Filtering with
BETWEEN and LIKE
- Working with
NULL Values in SQL
- Type Casting and Conversion in SQL:
CAST() and CONVERT()
- Using
COALESCE() to Handle Null Values
- Data Integrity and Constraints: Primary Keys, Foreign Keys, and Unique Constraints
- Creating and Modifying Tables with
CREATE and ALTER Statements
- Dropping Tables and Columns with
DROP and TRUNCATE
- Managing Data Types in Tables
- Introduction to Indexes: How They Improve Query Performance
- Creating and Dropping Indexes in SQL
- Understanding Database Normalization
- Normalization Rules: 1NF, 2NF, and 3NF
- Working with Views in SQL: Creating and Using Views
- Using
JOIN with Multiple Tables: Advanced Scenarios
- Advanced Subqueries: Nested and Complex Subqueries
- Using
WITH Clause for Common Table Expressions (CTEs)
- Window Functions in SQL:
ROW_NUMBER(), RANK(), DENSE_RANK()
- Advanced Aggregate Functions:
GROUP_CONCAT(), STRING_AGG(), PERCENTILE_CONT()
- Full-Text Search in SQL
- Working with Recursive Queries Using CTEs
- Transactions in SQL:
BEGIN, COMMIT, ROLLBACK
- Locking and Concurrency Control in SQL
- Using SQL Triggers for Event-Driven Actions
- Creating and Using Stored Procedures in SQL
- Understanding and Using SQL Functions
- User-Defined Functions (UDFs) in SQL
- Error Handling in SQL: Using
TRY and CATCH
- Optimizing SQL Queries for Performance
- Indexing Strategies for Query Optimization
- Query Execution Plans: Understanding and Analyzing Execution Plans
- Partitioning Tables in SQL for Performance Optimization
- Working with Hierarchical Data in SQL
- Using
GROUPING SETS for Advanced Aggregation
- SQL Security: Managing User Roles and Permissions
- Inserting Data into Tables with
INSERT INTO
- Bulk Data Insertion Techniques in SQL
- Updating Data in SQL with
UPDATE Statement
- Deleting Data from Tables with
DELETE Statement
- Data Validation and Integrity Checks in SQL
- Importing and Exporting Data from SQL Databases
- Using SQL for Data Migration and Transformation
- Handling Large Datasets in SQL
- Using
MERGE for Upserts and Synchronizing Data
- Managing Data Integrity: Transactions, Rollbacks, and Atomicity
- Data Backup and Restoration Strategies in SQL
- Creating and Managing Data Logs in SQL
- Using
SELECT INTO to Copy Data Between Tables
- Data Normalization and Denormalization in SQL
- Optimizing Data Integrity with Foreign Keys and Constraints
- Working with JSON and XML Data Types in SQL
- Using
JSONB and JSON Functions for Structured Data in PostgreSQL
- Full-Text Search with SQL and Integrating External Search Engines
- Importing External Data with
LOAD DATA INFILE and BULK INSERT
- Managing Large-Scale Data with Partitioned Tables in SQL
- Building a Simple Reporting System with SQL
- Designing and Managing Relational Databases for Web Applications
- Optimizing SQL Queries for Web Application Databases
- Using SQL for Data Warehousing and ETL Processes
- Designing and Querying Complex Data Models
- Creating and Managing Multi-Tenant Databases
- SQL for Business Intelligence: Analyzing Data Using SQL
- Using SQL for Real-Time Analytics
- Data Auditing and Logging in SQL
- Database Testing: Unit Tests and SQL Scripts
- Implementing Data Redundancy and Failover Mechanisms in SQL
- Building Data Pipelines with SQL and External Tools
- Data Security and Encryption in SQL Databases
- SQL Integration with Python for Data Analysis
- Creating a Data API Using SQL and RESTful Web Services
- SQL for Machine Learning and Predictive Analytics
- SQL for Handling Geospatial Data:
PostGIS, Spatial Queries
- Using SQL with NoSQL Databases: Hybrid Approaches
- SQL Performance Tuning: Caching, Query Optimization, and Indexing
- The Future of SQL: Trends, Cloud Databases, and New Features
This list covers a broad range of topics, progressing from basic SQL syntax and operations to advanced topics like performance optimization, security, and real-world applications. By following this progression, learners can master SQL from foundational concepts to real-world database design and optimization.