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Basics to Advanced Data Management
1. Introduction to SQL
1.1 What is SQL?
1.2 Importance of SQL in Data Management
1.3 SQL Databases Overview: MySQL, PostgreSQL, SQL Server, etc.
1.4 Setting Up the Environment
2. SQL Basics
2.1 Understanding Databases and Tables
Quiz
2.2 Data Types in SQL
2.3 Writing Basic Queries: SELECT, FROM, WHERE
2.4 Sorting and Filtering: ORDER BY, LIMIT, and DISTINCT
3. Data Manipulation
3.1 Inserting Data: INSERT INTO
Quiz
3.2 Updating Data: UPDATE
3.3 Deleting Data: DELETE
3.4 Transactions: COMMIT and ROLLBACK
4. SQL Functions and Operators
4.1 Aggregate Functions: SUM, AVG, COUNT, MAX, MIN
Quiz
4.2 String Functions: CONCAT, SUBSTRING, LENGTH
4.3 Date Functions: NOW, DATEADD, DATEDIFF
4.4 Logical Operators: AND, OR, NOT, LIKE, IN
5. Advanced Querying
5.1 Joins: INNER, LEFT, RIGHT, FULL
5.2 Subqueries and Nested Queries
5.3 Views: Creating and Managing Views
5.4 Indexing for Optimization
6. Database Design and Relationships
6.1 Primary and Foreign Keys
6.2 Normalization: 1NF, 2NF, 3NF
6.3 Entity-Relationship Diagrams (ERDs)
7. Stored Procedures and Triggers
7.1 Writing and Executing Stored Procedures
7.2 Using Triggers for Automated Actions
8. SQL for Data Analysis
8.1 Grouping and Aggregation: GROUP BY, HAVING
Quiz
8.2 Pivoting Data
8.3 Analytical Functions: ROW_NUMBER, RANK, NTILE
9. SQL Performance Tuning
9.1 Query Optimization Techniques
9.2 Understanding Execution Plans
9.3 Indexing Strategies
10. Practical Projects
10.1 Building a Database for an E-Commerce System
10.2 Analyzing Sales Data Using SQL
10.3 Reporting and Dashboards