SQL From Basics to Advanced
SQL From Basics to Advanced
1. Introduction to SQL
- 1.1 Overview of SQL: What, Why, and How
- 1.2 Understanding Databases: Relational vs. Non-Relational
- 1.3 Setting Up SQL Environment: Installing SQL Server & Tools
- 1.4 Basic SQL Syntax & Structure
2. Basic SQL Commands
- 2.1 SELECT Statement: Retrieving Data from Tables
- Basic SELECT Queries
- SELECT with WHERE Clause
- 2.2 Filtering Data
- WHERE, AND, OR, NOT Conditions
- LIKE, IN, BETWEEN Operators
- 2.3 Sorting Data
- ORDER BY: Ascending and Descending Order
- 2.4 Aggregation Functions
- COUNT, SUM, AVG, MIN, MAX
- 2.5 Grouping Data
- GROUP BY and HAVING Clause
- 2.6 SQL Aliases
- Column and Table Aliases
3. Intermediate SQL Concepts
- 3.1 SQL Joins
- INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
- 3.2 Subqueries
- Types of Subqueries: Single-row, Multi-row, Correlated Subqueries
- 3.3 Set Operations
- UNION, INTERSECT, EXCEPT
- 3.4 Advanced Filtering
- EXISTS, ANY, ALL Operators
- 3.5 String Functions in SQL
- CONCAT, SUBSTRING, REPLACE, TRIM, LENGTH
- 3.6 Date & Time Functions
- CURRENT_DATE, DATEDIFF, DATEADD, CONVERT
4. Advanced SQL Techniques
- 4.1 Advanced Joins
- CROSS JOIN, Self Join, Recursive Joins
- 4.2 Window Functions
- ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG
- 4.3 Common Table Expressions (CTE)
- Recursive & Non-Recursive CTEs
- 4.4 Transactions & ACID Properties
- COMMIT, ROLLBACK, SAVEPOINT
- 4.5 Indexes in SQL
- Clustered vs. Non-Clustered Indexes
- 4.6 Views in SQL
- Creating, Updating, and Deleting Views
5. Database Design & Optimization
- 5.1 Database Normalization
- Normal Forms: 1NF, 2NF, 3NF, BCNF
- 5.2 Denormalization
- When & How to Denormalize
- 5.3 Optimizing SQL Queries
- Analyzing Query Plans, Index Optimization
- 5.4 Handling Large Datasets
- Partitioning Tables, Archiving Data
- 5.5 SQL Performance Tuning
- Index Tuning, Query Refactoring
6. Specialized SQL Topics for Job Preparation
- 6.1 Advanced SQL Functions
- CASE, COALESCE, NULLIF
- 6.2 Triggers in SQL
- Creating & Managing Triggers
- 6.3 Stored Procedures & Functions
- Writing and Using Stored Procedures
- 6.4 Error Handling in SQL
- TRY-CATCH, Custom Error Messages
- 6.5 Data Security in SQL
- User Roles, Permissions, Data Encryption
7. SQL for Data Analysis & Reporting
- 7.1 Advanced Data Analysis in SQL
- Pivot Tables, Rollup, Cube
- 7.2 Reporting with SQL
- Generating Reports, Connecting SQL to BI Tools
- 7.3 SQL for Business Intelligence (BI)
- Data Warehousing Concepts
8. Mock Interview Practice & Real-world Applications
- 8.1 Solving Real Interview Problems with SQL
- 8.2 Case Studies: Real-world Database Solutions
- 8.3 SQL Challenges & Contests
- 8.4 Top 50 SQL Interview Questions
9. Additional Resources & Learning Path
- 9.1 Recommended SQL Practice Platforms
- LeetCode, HackerRank, Mode Analytics
- 9.2 SQL Code Optimization Best Practices
- 9.3 Career & Interview Preparation Tips for MNCs