🗃️ SQL Interview Preparation

Your ultimate guide to mastering SQL for AI/ML interviews and portfolio-worthy projects

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📖 Introduction

Welcome to my SQL-Roadmap, your one-stop shop for mastering SQL in AI/ML interviews and beyond! 🚀 This repository is packed with hands-on queries, advanced techniques, real-world case studies, and epic projects to help you shine in technical interviews and data-driven ML roles. From core fundamentals to massive portfolio-building challenges, it’s designed to boost your confidence and land you that dream job with clarity and swagger. Let’s query our way to greatness!

🌟 What’s Inside?

• Queries Mastery: Nail SELECT, JOINs, aggregations, and advanced functions for coding tests.

• Database Concepts: Master indexing, normalization, schemas, and performance tuning.

• Hands-on Projects: Build end-to-end ML pipelines with Giant Projects to showcase on irohanportfolio.netlify.app.

• Real-World Case Studies: Solve industry scenarios to prep for FAANG-style interviews.

• Interview Question Bank: Tackle common and advanced SQL questions with clear answers.

• Performance Optimization: Learn pro tips for efficient, scalable SQL.

🔍 Who Is This For?

• Data Scientists leveling up for ML interviews.

• Machine Learning Engineers building SQL fluency for data pipelines.

• AI Researchers streamlining data preprocessing and analysis.

• Software Engineers transitioning to AI/ML roles.

• Freshers & Pros mastering SQL for data-driven careers.

🗺️ Comprehensive Learning Roadmap

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🗃️ SQL Fundamentals

📋 Data Query Language (DQL))

• SELECT Operations

- SELECT Statement/SELECT%20Operations/SELECT%20Statement.md) - DISTINCT/SELECT%20Operations/DISTINCT.md) - WHERE Clause/SELECT%20Operations/WHERE%20Clause.md) - LIKE Operator/SELECT%20Operations/LIKE%20Operator.md) - Wildcard Operators/SELECT%20Operations/Wildcard%20Operators.md) - IN Operator/SELECT%20Operations/IN%20Operator.md) - BETWEEN Operator/SELECT%20Operations/BETWEEN%20Operator.md) - IS NULL/SELECT%20Operations/IS%20NULL.md) - AND, OR, NOT/SELECT%20Operations/AND%20OR%20NOT.md)

• Sorting and Limits

- ORDER BY/Sorting%20and%20Limits/ORDER%20BY.md) - LIMIT/Sorting%20and%20Limits/LIMIT.md) - OFFSET/Sorting%20and%20Limits/OFFSET.md) - TOP/Sorting%20and%20Limits/TOP.md)

• Subqueries

- Single-Row Subqueries/Subqueries/Single-Row%20Subqueries.md) - Multi-Row Subqueries/Subqueries/Multi-Row%20Subqueries.md) - Correlated Subqueries/Subqueries/Correlated%20Subqueries.md) - Nested Subqueries/Subqueries/Nested%20Subqueries.md)

• Conditional Logic

- CASE Statements/Conditional%20Logic/CASE%20Statements.md) - COALESCE/Conditional%20Logic/COALESCE.md) - NULLIF/Conditional%20Logic/NULLIF.md)

✏️ Data Manipulation Language (DML))

• INSERT

- Single Row Insert/INSERT/Single%20Row%20Insert.md) - Multiple Row Insert/INSERT/Multiple%20Row%20Insert.md) - Insert from SELECT/INSERT/Insert%20from%20SELECT.md)

• UPDATE

- Single Column Update/UPDATE/Single%20Column%20Update.md) - Multiple Column Update/UPDATE/Multiple%20Column%20Update.md) - Update with Conditions/UPDATE/Update%20with%20Conditions.md)

• DELETE

- Delete with Conditions/DELETE/Delete%20with%20Conditions.md) - Delete All Rows/DELETE/Delete%20All%20Rows.md)

🛠️ Data Definition Language (DDL))

• Tables

- CREATE TABLE/Tables/CREATE%20TABLE.md) - ALTER TABLE/Tables/ALTER%20TABLE.md) - DROP TABLE/Tables/DROP%20TABLE.md) - TRUNCATE TABLE/Tables/TRUNCATE%20TABLE.md)

• Constraints

- Primary Key/Constraints/Primary%20Key.md) - Foreign Key/Constraints/Foreign%20Key.md) - Unique/Constraints/Unique.md) - NOT NULL/Constraints/NOT%20NULL.md) - CHECK/Constraints/CHECK.md) - DEFAULT/Constraints/DEFAULT.md)

• Views

- CREATE VIEW/Views/CREATE%20VIEW.md) - ALTER VIEW/Views/ALTER%20VIEW.md) - DROP VIEW/Views/DROP%20VIEW.md)

🔐 Data Control Language (DCL))

• GRANT

- Grant Permissions/GRANT/Grant%20Permissions.md) - Grant Roles/GRANT/Grant%20Roles.md)

• REVOKE

- Revoke Permissions/REVOKE/Revoke%20Permissions.md) - Revoke Roles/REVOKE/Revoke%20Roles.md)

🔄 Transaction Control Language (TCL))

• COMMIT/COMMIT.md)

• ROLLBACK/ROLLBACK.md)

• SAVEPOINT/SAVEPOINT.md)

• SET TRANSACTION/SET%20TRANSACTION.md)

🔗 Joins and Aggregations

• Joins

- INNER JOIN - LEFT JOIN - RIGHT JOIN - FULL OUTER JOIN - Self-Join - Cross Join

• Aggregations

- COUNT - SUM - AVG - MAX - MIN - GROUP BY - HAVING Clause

• Set Operations

- UNION - UNION ALL - INTERSECT - EXCEPT

📝 Stored Procedures

• Creating Procedures

• Parameters

• Calling Procedures

• Dropping Procedures

⚡ Triggers

• Creating Triggers

• BEFORE Triggers

• AFTER Triggers

• Dropping Triggers

👈 Cursors

• Declaring Cursors

• Opening Cursors

• Fetching Data

• Closing Cursors

📊 Indexing

• Creating Indexes

• B-Tree Indexes

• Hash Indexes

• Specialty Indexes

🚀 Extra Modules

• Pivot Queries

• Dynamic Queries

• User-Defined Functions

• Window Functions

• Common Table Expressions

• Specialized Queries

• DateTime Functions

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🌌 Giant Projects

• Build massive SQL projects combining DQL, DML, DateTime Functions, and more for portfolio-ready ML solutions.

• Sub-Folders:

- Project 1: Retail Sales Pipeline - Project 2: Time-Series Model Tracker - Project 3: Model Schema Builder - Project 4: Leaderboard Reporter - Project 5: Dynamic Model Evaluator

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📈 SQL Real World Case Studies

• Solve industry-inspired problems to prep for FAANG interviews, from data pipelines to analytics dashboards.

• Sub-Folders:

- Interview Preparation For Real World Case Studies

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💡 Why Master SQL for AI/ML?

SQL is the backbone of AI/ML workflows, and here’s why it’s a game-changer:

• Data Powerhouse: Drives preprocessing, feature engineering, and model evaluation for ML pipelines.

• Interview Must-Have: 30% of AI/ML interviews test SQL for real-world scenarios—ace them with Case Studies.

• Portfolio Edge: Build standout projects with Giant Projects to impress recruiters on irohanportfolio.netlify.app.

• Scalability: Optimize queries for massive datasets, a top skill for 6 LPA+ roles.

• Real-World Impact: From e-commerce analytics to model monitoring, SQL delivers insights that matter.

This repo is my roadmap to conquering SQL for technical interviews and AI/ML careers—join me to code, build, and win! 🌟

📆 Study Plan

• Week 1-2: DQL and Basic Queries

• Week 3-4: DML and DDL Mastery

• Week 5-6: Joins, Aggregations, and TCL

• Week 7-8: DCL, Stored Procedures, and Triggers

• Week 9-10: Cursors and Indexing Optimization

• Week 11-12: Extra Modules (Window Functions, DateTime Functions)

• Week 13-14: Tackle Giant Projects for portfolio-building

• Week 15-16: Solve SQL Real World Case Studies for interview prep

🤝 Contributions

Love to collaborate? Here’s how! 🌟

• Fork the repository.

• Create a feature branch (git checkout -b feature/amazing-addition).

• Commit your changes (git commit -m 'Add some amazing content').

• Push to the branch (git push origin feature/amazing-addition).

• Open a Pull Request.

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