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🗺️ SQL + Advanced SQL Roadmap (From Zero to Expert)

Designed for beginners with no prior experience. Follow it weekly and hands-on.

🎥 Video Resource:

SQL Roadmap Video

📅 Phase 1: SQL Fundamentals (Week 1–2)

🎯 Objective:

Understand what SQL is, basic queries, and how to interact with databases.

🧠 Topics:

  • What is SQL? Why use it?
  • Types of SQL: DDL, DML, DCL, TCL
  • Relational Databases vs Non-relational
  • SQL Syntax and Clauses

📚 Learn:

  • SELECT, FROM, WHERE
  • Logical operators: AND, OR, NOT
  • ORDER BY, LIMIT

🛠 Practice:

📅 Phase 2: Data Filtering & Sorting (Week 3)

🎯 Objective:

Get comfortable manipulating and filtering data.

🧠 Topics:

  • BETWEEN, IN, LIKE, IS NULL
  • Sorting using ORDER BY
  • Aliases (AS)

🛠 Practice:

  • Work on a sample employee table.
  • Practice filtering using multiple conditions.

📅 Phase 3: Aggregation & Grouping (Week 4)

🎯 Objective:

Learn to analyze data using aggregate functions.

🧠 Topics:

  • COUNT(), SUM(), AVG(), MIN(), MAX()
  • GROUP BY, HAVING

🛠 Practice:

  • Analyze sales by region or products.

📅 Phase 4: Joins (Week 5–6)

🎯 Objective:

Combine data from multiple tables.

🧠 Topics:

  • Types of Joins:
    • INNER JOIN
    • LEFT JOIN
    • RIGHT JOIN
    • FULL OUTER JOIN
    • SELF JOIN
  • Cross Join and Cartesian product

🛠 Practice:

  • Work with orders, customers, and products tables.
  • Combine and filter based on business logic.

📅 Phase 5: Subqueries & Set Operations (Week 7)

🎯 Objective:

Learn to write complex nested queries.

🧠 Topics:

  • Subqueries in SELECT, FROM, WHERE
  • Correlated vs Non-correlated Subqueries
  • Set operators:
    • UNION, UNION ALL
    • INTERSECT, EXCEPT

📅 Phase 6: Table Management & Constraints (Week 8)

🎯 Objective:

Understand how to create, modify, and delete tables.

🧠 Topics:

  • CREATE TABLE, ALTER TABLE, DROP TABLE
  • Constraints:
    • PRIMARY KEY, FOREIGN KEY
    • UNIQUE, NOT NULL, CHECK, DEFAULT

📅 Phase 7: Advanced SQL (Week 9–10)

🎯 Objective:

Master professional SQL for real-world scenarios.

🧠 Topics:

  • Window Functions:
    • ROW_NUMBER(), RANK(), DENSE_RANK()
    • LEAD(), LAG()
    • PARTITION BY, OVER()
  • CTE (Common Table Expressions):
    • WITH clause
    • Recursive CTEs
  • Advanced Subqueries and Joins
  • Pivoting / Unpivoting

📅 Phase 8: Transactions & Indexing (Week 11)

🎯 Objective:

Learn about database optimization and control.

🧠 Topics:

  • Transactions: BEGIN, COMMIT, ROLLBACK
  • ACID Properties
  • Indexing and performance
  • Views: CREATE VIEW, UPDATE VIEW

📅 Phase 9: Real-World Practice (Week 12+)

🎯 Objective:

Build your portfolio and test your SQL skills.

🛠 Projects:

  • Sales Dashboard Queries
  • Employee Management Queries
  • E-commerce Analysis
  • SQL Case Studies (Kaggle datasets)

🧠 Platforms:

🔥 Bonus Tips

  • 📘 Learn PostgreSQL or MySQL for real DB experience
  • 🔄 Combine SQL with Python (Pandas + SQLAlchemy) or Power BI
  • ✍️ Always comment your queries in real projects
  • 📂 Maintain a GitHub repo for all practice queries

📕 Final Outcome

By the end, you’ll be able to: ✅ Write complex, optimized SQL queries
✅ Handle real-world business data problems
✅ Pass SQL interviews and certifications
✅ Work with BI tools or Data Engineering pipelines

📦 Certifications to Aim For (Optional)

  • Microsoft: [DP-900 / PL-300]
  • Google: [Data Analytics Cert]
  • IBM Data Analyst Cert (Coursera)