🟢 Week 1: SQL Basics

Day 1: Introduction to SQL and Relational Databases

• Overview of SQL Syntax
• Setting up a Database (MySQL, PostgreSQL, SQL Server)

Day 2: Data Types & Basic Queries

• Data Types: Numeric, String, Date, etc.
• Writing Basic SQL Queries: SELECT, FROM

Day 3: Filtering Data

• WHERE Clause
• Logical Operators: AND, OR, NOT

Day 4: Sorting & Limiting Data

• ORDER BY
• LIMIT and OFFSET
• Understanding DISTINCT

Day 5: Aggregate Functions

• COUNT, SUM, AVG, MIN, MAX

Day 6: Grouping Data

• GROUP BY and HAVING
• Combining Filters with Aggregations

Day 7: Review & Hands-On Practice

• Solve exercises on HackerRank, LeetCode, or W3Schools

🟡 Week 2: Intermediate SQL

Day 8-9: SQL JOINS

• INNER JOIN, LEFT JOIN
• RIGHT JOIN, FULL OUTER JOIN, SELF JOIN

Day 10: NULL Values & CASE Statements

• Working with NULL Values
• Conditional Logic with CASE Statements

Day 11: Subqueries

• Simple Subqueries (Single-row and Multi-row)
• Correlated Subqueries

Day 12: String Functions

• CONCAT, SUBSTRING, LENGTH, REPLACE

Day 13: Date & Time Functions

• NOW, CURDATE, DATEDIFF, DATEADD

Day 14: Combining Results

• UNION, UNION ALL, INTERSECT, EXCEPT

Review Week 2 & Practice

• Practice intermediate queries

🔵 Week 3: Advanced SQL

Day 15: Common Table Expressions (CTEs)

• WITH clauses and Recursive Queries

Day 16-17: Window Functions

• ROW_NUMBER, RANK, DENSE_RANK, NTILE
• LEAD, LAG, FIRST_VALUE, LAST_VALUE

Day 18: Views & Temporary Tables

• Creating and Managing Views
• Temporary Tables and Table Variables

Day 19: Transactions & Indexes

• ACID Properties
• Indexes for Query Optimization

Day 20: Error Handling & Dynamic SQL

• Error Handling in SQL
• Writing Dynamic SQL Queries

Day 21: Review & Complex Query Practice

• Intermediate to Advanced SQL Challenges

🟠 Week 4: Database Management & Advanced Applications

Day 22: Database Design & Normalization

• 1NF, 2NF, 3NF

Day 23: Constraints in SQL

• PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT

Day 24: Indexes & Query Execution Plans

• Creating and Managing Indexes
• Understanding Query Execution Plans

Day 25: Backup, Restore & Permissions

• Backup and Restore Strategies
• Role-Based Permissions

Day 26: Pivoting, Unpivoting & JSON/XML

• Pivoting and Unpivoting Data
• Working with JSON and XML in SQL

Day 27: Stored Procedures & Triggers

• Writing Stored Procedures and Functions
• Automating Processes with Triggers

Day 28: SQL Integration & Big Data

• Integrating SQL with Python, Power BI, Tableau
• Introduction to NoSQL

Day 29: Query Performance Tuning

• Tips & Tricks to Optimize SQL Queries

Day 30: Final Review & Projects

• Attempt SQL projects or case studies
• Examples: analyzing sales data, building reporting dashboards