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

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