Best Platforms to Learn and Practice SQL in 2025

With Companies like JPMorgan Chase and Boeing regularly utilizing relational databases for their transactional operations, interested candidates must learn the basics of manipulating them. Among the popular relational database management systems, Microsoft SQL Server holds the most significant portion of the market, with a share of 28.93%.

SQL is the backbone of most of these systems, including Microsoft SQL Server. So you must master this third popular programming language and most popular query language if you’re interested in landing data-specific roles like data scientist and business analyst. For that, you must learn database manipulation and how to write complex queries.

In this article, we’ve gathered the best platforms to learn and practice SQL in 2024. We hope you find the most appropriate tool for your needs.

Overview

Interview Query is an exceptional platform tailored for SQL learners, data analysts, and aspiring data scientists who aim to excel in their careers. Known for its focus on real-world SQL problems and interview preparation, Interview Query provides users with the tools they need to not just learn SQL but to master its application in business and data contexts.

With a strong emphasis on SQL for job readiness, Interview Query bridges the gap between academic learning and professional application, making it a standout choice for job seekers and professionals aiming to level up their SQL skills.

Features

• Real-World SQL Challenges:
  • The platform offers problems inspired by real-world business scenarios, preparing users to tackle challenges they’re likely to encounter in professional settings.
• Interview-Focused Questions:
  • Curated SQL questions that mirror what top companies ask in interviews, helping learners build confidence for job interviews. IQ offers all interview questions free of cost. The solutions, however, are limited to premium members.
• Detailed Solutions and Explanations:
  • Each problem comes with comprehensive solutions and explanations, ensuring that learners understand the logic and approach behind each query.
• Diverse Problem Sets:
  • These range from beginner-friendly exercises to advanced, multi-step SQL problems that challenge even experienced users.
• Industry Relevance:
  • The problems focus on data types and scenarios common in industries such as e-commerce, tech, healthcare, and finance.

Learning Style

• Hands-On Problem Solving:
  • Interview Query’s SQL exercises emphasize hands-on learning, ensuring users gain practical skills they can apply in real-life situations.
• Self-Paced Learning:
  • Users can learn at their own pace, revisiting questions and topics to strengthen their understanding.
• Realistic Scenarios:
  • Many problems simulate actual business challenges, allowing users to develop a problem-solving mindset while practicing SQL.

Accessibility

• Subscription Model:
  • Interview Query operates on a subscription basis, with flexible plans tailored to meet the needs of learners and professionals at different stages of their careers.
• Fully Online:
  • The platform is entirely web-based, providing seamless access to its resources anytime, anywhere. The AI Interviewer feature may also help you get better at landing SQL-based jobs.
• User-Friendly Interface:
  • Designed with simplicity in mind, the platform is easy to navigate, making it accessible for both beginners and advanced users.

Proficiency of Questions

• Beginner to Expert Levels:
  • Problems are structured to cater to all skill levels, starting with fundamental queries and progressing to advanced, multi-layered problems.
• Interview-Ready Exercises:
  • The exercises focus on the types of SQL questions frequently asked in data science, analytics, and software engineering interviews, ensuring users are well-prepared.
• Insightful Analytics Problems:
  • Challenges often combine SQL with data interpretation, providing a dual benefit of honing querying skills and analytical thinking.

Diversity of Resources

• Wide Range of Topics:
  • The subject matter covers foundational SQL concepts like SELECT and JOIN, as well as advanced techniques such as window functions, CTEs, and subqueries.
• Guided Practice:
  • Hints and step-by-step guides accompany each question to ensure users can confidently approach challenges.
• Interview Readiness:
  • Resources include SQL practice and tips and strategies for succeeding in data-related interviews.

Progress Tracking

• Performance Metrics:
  • Users can track their progress, identify areas of improvement, and see how they stack up against others on the platform.
• Goal-Oriented Learning:
  • Clear pathways help users focus on achieving their career goals, from acing SQL interviews to mastering advanced concepts.

Community Support

• Active Community:
  • Interview Query fosters an engaged community, through Slack and Reddit, where users can discuss problems, share solutions, and learn from one another.
• Expert Insights:
  • The platform includes insights from industry experts, ensuring users are exposed to best practices and real-world applications.
• Collaborative Learning:
  • Learners can benefit from shared experiences, P2P Mock Interview support, and discussions about SQL trends and techniques.

Overview

LeetCode is a well-known platform for technical interview preparation, offering a comprehensive section for practicing SQL. It caters to intermediate and advanced users, especially those aiming for roles in data engineering, analytics, or software development.

Features

• Wide Range of Questions: Over 150 SQL problems categorized into Easy, Medium, and Hard levels.
• Real SQL Environment: Provides a robust SQL execution interface for live query testing.
• Company-Specific Problems: Includes SQL challenges reportedly used in interviews at top companies like Amazon, Facebook, and Google.
• Detailed Problem Statements: Each question has clear instructions and sample input-output examples.
• Hints and Editorials: Premium users gain access to official solutions and detailed explanations.

Learning Style

• Problem-Solving Approach: Focuses entirely on solving SQL problems rather than teaching SQL from scratch.
• Self-Paced: Users can attempt problems at their own pace and revisit them as needed.
• Lacks Tutorials: Not suitable for complete beginners, as there are no structured lessons or theory explanations.

Accessibility

• Free vs Paid:

  Many problems are free. However, access to company-specific problems, official solutions, and additional features requires a LeetCode Premium subscription (~$35/month or $159/year).

• Global Accessibility: The platform is accessible worldwide, with no significant regional restrictions.

Proficiency of Questions

• Complexity: The questions range from simple SELECT statements to complex JOINs, subqueries, and window functions.
• Real-World Scenarios: Problems mimic practical applications, such as data aggregation, ranking, and filtering large datasets.

Diversity of Resources

• Limited Learning Materials: LeetCode is more about practice than teaching. It lacks guided tutorials or video lessons.
• Data Variety: Questions involve diverse datasets (e.g., employee records, sales data, customer transactions), offering exposure to different use cases.

Progress Tracking

• Performance Metrics: Tracks solved problems and provides a personal dashboard to monitor progress.
• Competitive Edge: Compares performance with other users globally via leaderboards.
• Coding Streaks: Encourages consistency by tracking daily problem-solving streaks.

Community Support

• Active Discussion Boards: Every problem has a discussion section where users share solutions, insights, and alternative approaches.
• Solution Sharing: Users often post optimized solutions, providing additional learning opportunities.
• Community Forums: Broader forums for general help, tips, and SQL-related discussions.

Overview

HackerRank, featuring a dedicated SQL domain, is a popular platform for practicing coding and data-related skills. It offers challenges for learners across all levels, making it an excellent choice for both beginners and advanced users. The platform is widely used by companies for technical assessments, so its problems are often aligned with real-world scenarios and interview requirements.

Features

• Wide Variety of Topics:
  • Covers basics like SELECT and WHERE to advanced concepts like JOINs, window functions, and analytics queries.
  • Organized into categories: Basic Select, Advanced Select, Aggregation, and more.
• Interactive Environment:
  • Built-in SQL editor allows users to write, execute, and debug queries directly on the platform.
• Ranked Competitions:
  • Participate in SQL-specific contests to compete globally.
• Certification Tests:
  • Offers SQL certifications to validate your skills and boost your resume.

Learning Style

• Structured Progression: Problems are grouped into difficulty levels and topics, allowing learners to advance systematically.
• Tutorial-Like Challenges: Introductory problems often include explanations, making the challenges accessible for beginners.
• Self-Paced: Users can solve problems at their own speed and return to them anytime.

Accessibility

• Free vs Paid:
  • Most problems and challenges are free to access.
  • Certification tests and advanced features may require payment or a premium account.
• Global Accessibility: Available worldwide without major regional restrictions.

Proficiency of Questions

• Difficulty Levels:
  • Ranges from beginner-friendly problems like filtering rows to complex problems involving multiple JOINs and nested subqueries.
  • Advanced questions often mimic real-world use cases, such as analyzing customer behavior or optimizing data queries.
• Practical Scenarios: Challenges are modeled after real-world datasets and scenarios, making the platform practical for job preparation.

Diversity of Resources

• Comprehensive Problem Set: Covers SQL essentials, intermediate topics (e.g., case statements and groupings), and advanced features (e.g., rank and partition).
• Dataset Variety: Includes a mix of small, simple datasets and more complex, business-relevant ones.

Progress Tracking

• Skill Badges: Earn badges for completing challenges and milestones, showcasing your proficiency in SQL.
• Personal Dashboard: Tracks completed challenges, areas of strength, and areas needing improvement.
• Leaderboard: View rankings globally or within a specific challenge.

Community Support

• Discussion Boards: There are active forums for each problem where users discuss solutions, optimization techniques, and approaches.
• Hints and Guidance: Community and moderators often provide hints for tricky challenges.
• Collaborative Learning: Competitions and forums encourage knowledge sharing.

Overview

SQLZoo is a widely-used, beginner-friendly platform for learning and practicing SQL. It’s designed to teach SQL through interactive tutorials and exercises, making it an excellent starting point for newcomers. Unlike other platforms, it focuses on simplicity and ease of use, without requiring any prior setup.

Features

• Interactive Tutorials: Provides hands-on lessons for writing and executing SQL queries.
• Wide Coverage: Covers essential SQL concepts like SELECT, JOINs, aggregation, subqueries, and window functions.
• Step-by-Step Guidance: Tutorials are organized in increasing complexity, ensuring learners build a strong foundation.
• Instant Feedback: Users receive immediate results and feedback for each query they run.
• Multi-Database Support: Exercises are designed for various SQL flavors, including MySQL, PostgreSQL, and SQL Server.

Learning Style

• Beginner-Focused:
  • Perfect for those with little or no prior SQL experience.
  • Concepts are introduced progressively, with explanations alongside exercises.
• Hands-On Learning:
  • Encourages users to practice actively rather than passively reading content.
• Problem Solving:
  • Each tutorial ends with a set of challenges to solidify understanding.

Accessibility

• Free and Open: SQLZoo is entirely free to use, with no subscription or paywall.
• Browser-Based: Fully web-based, so no installation or setup is required.

Proficiency of Questions

• Beginner to Intermediate Level:
  • Questions focus on practical skills like retrieving and manipulating data.
  • Limited advanced concepts (e.g., optimization or performance tuning) compared to other platforms.
• Real-Life Scenarios: Exercises simulate typical database queries, making them relevant for real-world applications.

Diversity of Resources

• Tutorials and Practice: Focused more on tutorials and guided exercises than a vast problem library.
• Database Variants: Exposes users to different SQL dialects, which is helpful for understanding cross-platform differences.

Progress Tracking

• Minimal Tracking:
  • No user account or dashboard for progress tracking.
  • Users need to track their progress manually.

Community Support

• Limited Community Interaction:
  • No built-in discussion forums or collaborative features.
  • Relies on external forums like Reddit or Stack Overflow for additional help.

Overview

W3Schools SQL Tutorial is a free, beginner-friendly resource designed to teach the fundamentals of SQL. It combines concise explanations with interactive exercises, making it a great starting point for learners new to databases. The platform is widely regarded for its accessibility and simplicity.

Features

• Comprehensive Tutorials:
  • Covers SQL basics such as SELECT, INSERT, UPDATE, DELETE, and more advanced concepts like JOINs, subqueries, and views.
• Interactive SQL Editor:
  • Includes a “Try It Yourself” feature that allows users to practice SQL queries in a live, browser-based environment.
• Step-by-Step Explanations:
  • Every concept is paired with an example, followed by exercises to reinforce understanding.
• Real-Time Feedback:
  • Immediate feedback on queries run within the editor.

Learning Style

• Beginner-Focused:
  • Designed for users with no prior SQL experience.
  • Clear explanations with examples make it accessible to non-technical users.
• Interactive Learning:
  • Encourages users to actively experiment with code while learning.
• Self-Paced:
  • Allows learners to progress through topics at their own speed.

Accessibility

• Completely Free:
  • All tutorials and exercises are available free of charge.
  • No registration required for access.
• Browser-Based:
  • Fully online, needing no additional software or installation.

Proficiency of Questions

• Beginner to Intermediate Level:
  • Exercises focus on fundamental and intermediate SQL operations.
  • Limited depth in advanced topics like optimization, window functions, or performance tuning.
• Simple Scenarios:
  • Problems use small, straightforward datasets, ideal for learning but less reflective of real-world data complexity.

Diversity of Resources

• Tutorials and Exercises:
  • Focused on step-by-step learning rather than a diverse problem set.
  • Includes references for SQL commands, syntax, and functions.
• Limited Dataset Variety:
  • Exercises use predefined datasets, which may feel repetitive for advanced learners.

Progress Tracking

• No Built-In Tracking:
  • Users progress manually; there’s no feature to save progress or track completed topics.

Community Support

• Minimal Community Features:
  • No built-in discussion boards or community forums.
  • Users rely on external resources (e.g., Stack Overflow) for help with questions.

Overview

DB Fiddle is an online SQL playground that allows users to write, run, and share SQL queries using various database systems. Unlike other learning platforms focusing on tutorials or structured courses, DB Fiddle is more of a tool for experimenting and practicing SQL in a real-world context. It’s especially useful for testing queries quickly and sharing them with others.

Features

• Multi-Database Support:
  • DB Fiddle supports various SQL dialects, including MySQL, PostgreSQL, SQLite, and SQL Server. This makes it versatile for users wanting to test queries in different environments.
• Instant Query Execution:
  • Users can write SQL code and immediately see the results. It’s an excellent tool for experimentation and debugging.
• Shareable Links:
  • Users can create shareable links for their SQL queries and results, making it easy to collaborate or seek help.
• Data Import/Export:
  • Users can import and export data as SQL scripts or CSV files.
• Clean Interface:
  • Minimalistic and user-friendly interface that allows you to focus purely on SQL queries.

Learning Style

• Experimentation:
  • DB Fiddle is not a tutorial-based platform. It’s designed for users who already have some SQL knowledge and want to test or experiment with queries in different SQL environments.
• Problem Solving and Debugging:
  • Ideal for testing solutions to specific problems, experimenting with SQL syntax, and debugging queries.
• Free-Form Practice:
  • Users are free to explore any SQL query or scenario they choose, making it highly flexible.

Accessibility

• Free to Use:
  • DB Fiddle is completely free, with no premium or paywall restrictions.
• Browser-Based:
  • No need for installations or downloads; everything is run in the browser.
• Multi-Database Support:
  • Users can switch between different databases and SQL dialects (e.g., MySQL, PostgreSQL, SQL Server) to see how queries behave across systems.

Proficiency of Questions

• Not Structured for Learning:
  • Unlike platforms like LeetCode or HackerRank, DB Fiddle doesn’t provide guided problems or challenges. It’s more suited for those with existing SQL knowledge who want to test, experiment, or share queries.
• Custom Queries:
  • Users can write custom queries and interact with different database setups, making it perfect for learning advanced SQL concepts by testing them in real time.

Diversity of Resources

• Flexible, User-Driven:
  • Since DB Fiddle allows users to create and run their own queries, there’s no predefined set of exercises or problems. It’s all about what the user chooses to test.
• Limited Learning Materials:
  • Unlike other platforms, DB Fiddle does not offer tutorials, quizzes, or structured courses. It’s more of a sandbox for hands-on learning.

Progress Tracking

• No Built-In Progress Tracking:
  • Since DB Fiddle doesn’t provide structured learning paths, there’s no feature for tracking progress. Users must keep track of their practice manually.

Community Support

• Limited Community Features:
  • DB Fiddle doesn’t offer a built-in community or discussion forums. However, users can share their links on external platforms like Stack Overflow to get help.
• External Collaboration:
  • The ability to share SQL code via links makes collaboration easy, but it relies on external discussion platforms for feedback.

Overview

Kaggle is a well-known platform in the data science community, offering datasets, notebooks, and challenges across a variety of data-related topics, including SQL. It’s primarily focused on data analysis, machine learning, and data science projects. Kaggle allows users to practice SQL in the context of real-world datasets and participate in competitions that involve querying large databases.

Features

• SQL Practice with Real Datasets:
  • Kaggle offers various datasets that can be queried using SQL, allowing users to apply SQL to real-world data problems.
• Interactive Notebooks:
  • Kaggle notebooks provide an environment for running SQL queries alongside Python, R, and other data science tools.
• Kaggle Competitions:
  • Although most competitions focus on machine learning, there are challenges where SQL knowledge is necessary to clean and query the data before applying models.
• Public Datasets:
  • Kaggle hosts a vast collection of public datasets that are ready to be used for analysis and SQL query practice.
• SQL Tutorial Notebooks:
  • Some users and Kaggle’s official resources provide SQL-focused notebooks for learning SQL and querying databases.

Learning Style

• Project-Based Learning:
  • Kaggle emphasizes learning by doing, with practical applications and projects. Users are expected to explore datasets and solve real problems, many of which involve querying large datasets with SQL.
• Hands-On Practice:
  • The platform is more geared toward those who want to apply SQL in the context of data analysis or machine learning projects.
• Self-Paced:
  • While there are notebooks and tutorials, the learning is largely driven by personal exploration and challenges.

Accessibility

• Free to Use:
  • Kaggle is completely free for anyone to access, with no paywall for most features.
• Cloud-Based Notebooks:
  • Everything is browser-based, so users don’t need to install anything on their local machines to start working with SQL and other data science tools.
• No Account Needed for Browsing:
  • Users can browse datasets and notebooks without an account, though signing up is needed to participate actively in competitions and create notebooks.

Proficiency of Questions

• Intermediate to Advanced:
  • Kaggle offers more advanced SQL scenarios, particularly in the context of large datasets. Many of the problems require understanding of joins, aggregations, and filtering in complex, real-world datasets.
• Real-World Problems:
  • The SQL problems on Kaggle involve analyzing business data, financial data, and more, making them highly applicable for those wanting to practice SQL in data science contexts.

Diversity of Resources

• Vast Dataset Library:
  • Kaggle offers a huge variety of publicly available datasets, making it a great resource for practicing SQL across many different fields, such as finance, healthcare, sports, and more.
• SQL-Specific Notebooks:
  • While most tutorials on Kaggle focus on Python and machine learning, there are SQL-focused notebooks that help learners understand how to query and manipulate data in databases.
• Competitions:
  • SQL may be needed in some Kaggle competitions, where participants must first query and clean data before performing machine learning tasks.

Progress Tracking

• Leaderboard for Competitions:
  • Kaggle tracks participants’ rankings in competitions, which can be a form of progress tracking.
• Notebook History:
  • Users can save and track their progress through notebooks, but there isn’t a formal progress-tracking system like those found in dedicated learning platforms.

Community Support

• Discussion Forums:
  • Kaggle has an active community forum where users can ask questions, share solutions, and collaborate on challenges.
• Notebooks and Shared Solutions:
  • Kaggle’s notebooks are open-source, so users can share solutions and insights, allowing others to learn from different approaches.
• Kernels/Notebooks Sharing:
  • Users can share SQL queries and notebooks, providing opportunities to learn from others and improve problem-solving skills.

Overview

SQLBolt is a free, interactive platform that teaches SQL from the basics to more advanced concepts. It offers a series of lessons that introduce SQL concepts with immediate hands-on practice, allowing users to write and execute SQL queries directly in their browser. The platform is highly accessible and structured to support self-paced learning.

Features

• Interactive Lessons:
  • SQLBolt provides interactive lessons that cover various SQL topics, such as SELECT, JOIN, WHERE, GROUP BY, and subqueries. Each lesson includes an explanation followed by exercises to reinforce the concept.
• Real-Time Query Execution:
  • Users can execute SQL queries directly in the browser and see the results in real time, allowing immediate feedback.
• Simple and Intuitive Interface:
  • The platform has a clean, easy-to-navigate interface focusing on learning SQL without distractions.
• Progressive Difficulty:
  • Lessons are organized in a progressive manner, allowing users to start from basic SQL concepts and gradually move towards more complex queries.

Learning Style

• Hands-On Learning:
  • SQLBolt emphasizes hands-on learning. After every lesson, users are given exercises that allow them to practice the concepts immediately.
• Step-by-Step Approach:
  • The platform is beginner-friendly and takes a gradual approach to teaching SQL, explaining the concepts with examples and simple exercises.
• Self-Paced:
  • Users can progress at their own speed, making it easy to review lessons as needed and practice extensively.

Accessibility

• Free and Open Access:
  • SQLBolt is completely free and available without any paywall or subscription requirement.
• Browser-Based:
  • It is entirely web-based, which means no installation is necessary. Users can start learning immediately by visiting the website.
• No Account Required:
  • There is no need for an account to access the lessons, making it very convenient for learners who want to get started quickly.

Proficiency of Questions

• Beginner to Intermediate:
  • SQLBolt focuses on helping beginners understand the fundamentals of SQL. The lessons start with basic operations like SELECT, INSERT, and filtering data and progress to more advanced topics like JOINs, subqueries, and aggregations.
• Practical Exercises:
  • The platform provides practical exercises based on real-world examples that help learners understand how SQL is used in various scenarios.

Diversity of Resources

• Lesson-Based Approach:
  • SQLBolt uses a lesson-based approach, where each lesson focuses on a particular SQL concept. It is designed to be a self-contained learning experience for each topic.
• Limited Variety of Content:
  • While SQLBolt is excellent for foundational SQL knowledge, it doesn’t provide a vast range of different exercises or challenges. The content is more linear and focused on structured learning rather than diverse problem-solving.

Progress Tracking

• Manual Progress Tracking:
  • There is no built-in system to track your progress or save your work, but users can manually track their progress by checking off completed lessons.
• Completion of Lessons:
  • Users can follow through the entire sequence of lessons and mark them as completed to keep track of their learning journey.

Community Support

• Minimal Community Interaction:
  • SQLBolt does not have integrated forums or community features for discussions.
• External Support:
  • Learners can seek help from external platforms like Stack Overflow or Reddit if they encounter difficulties while working through the exercises.

Overview

DataQuest is an interactive learning platform that offers SQL courses as part of its broader data science curriculum. It emphasizes project-based learning, where students can practice SQL queries using real-world datasets, making it a good choice for those interested in combining SQL with data science and analytics.

Features

• Project-Based Learning:
  • DataQuest stands out for its focus on projects. In SQL courses, learners work with real datasets and perform queries to solve practical problems, such as analyzing business data or exploring customer trends.
• Interactive Coding Platform:
  • The platform provides an integrated environment where users can write and execute SQL queries directly within the browser, offering real-time feedback.
• Real-World Datasets:
  • Courses use real-world datasets, including data from domains like finance, marketing, and e-commerce, providing a practical context for learning SQL.
• Learning Pathways:
  • DataQuest provides structured learning paths for various topics, including SQL, data analysis, machine learning, and more. Learners can choose a path tailored to their career goals (e.g., data scientist or data analyst).
• Skill Progression:
  • As users complete lessons and projects, they earn certificates, which verify their skills.

Learning Style

• Project-Based Learning:
  • DataQuest uses a hands-on, project-based approach where learners complete real-world challenges after every lesson.
• Interactive and Self-Paced:
  • The platform allows for self-paced learning with interactive coding environments, where users can run SQL queries and see results immediately.
• Beginner to Advanced:
  • DataQuest’s SQL courses cater to all skill levels, starting with basic SQL operations and progressing to complex queries, aggregations, and joins.

Accessibility

• Paid Subscription:
  • DataQuest operates on a subscription-based model, with some introductory content available for free. Full access to all lessons, projects, and learning paths requires a paid plan.
• Browser-Based:
  • DataQuest is a fully web-based platform, so no software installation is required, and users can learn directly in the browser.
• Flexible Learning:
  • As a subscription service, DataQuest gives learners the flexibility to progress at their own pace, but a subscription is required to access all resources.

Proficiency of Questions

• Beginner to Advanced:
  • DataQuest starts with fundamental SQL queries, such as SELECT, INSERT, and WHERE, and moves into more advanced concepts like JOINs, subqueries, and aggregation.
• Real-World, Data-Driven Challenges:
  • The questions are designed around realistic business problems, making them useful for learners aiming to apply SQL in a professional data context.
• Project-Oriented:
  • Learners will engage with complex, real-world datasets and perform tasks that mimic the work of a data analyst or data scientist.

Diversity of Resources

• Comprehensive SQL Courses:
  • SQL is integrated into DataQuest’s broader data science curriculum, which covers data analysis, machine learning, and data visualization.
  • Projects are varied and come from industries like e-commerce, healthcare, and finance.
• Video and Written Content:
  • The learning materials consist of written lessons, interactive exercises, and projects, but DataQuest does not heavily rely on video content.
• Real-World Projects:
  • DataQuest allows learners to work with actual datasets from domains such as sales, customer behavior, and marketing, ensuring that the exercises are relevant to real-world data challenges.

Progress Tracking

• Skill Tracking:
  • DataQuest tracks your progress as you complete lessons and projects. The platform provides a visual representation of completed lessons and upcoming topics.
• Certificates:
  • Users earn certificates upon completing learning paths and projects, which can be used to showcase their skills to potential employers.
• Achievements:
  • Learners are rewarded with milestones and certificates as they move through the courses and complete projects.

Community Support

• Discussion Forum:
  • DataQuest offers a forum where users can ask questions, share solutions, and collaborate with others.
• Mentorship:
  • For paid users, DataQuest offers mentorship, which can provide personalized guidance and help with project work.
• Collaborative Learning:
  • The platform fosters a collaborative environment with opportunities to share solutions and insights through the community forum and discussion groups.

Each platform highlighted here offers its own unique approach to SQL practice, catering to different learning styles and levels of expertise. While some platforms, such as Interview Query, LeetCode, and Kaggle, are widely recognized for their extensive problem sets and popularity among learners, others provide valuable niche resources or beginner-friendly content that can also contribute significantly to your learning journey. Embracing a diverse range of platforms allows you to explore various SQL concepts and applications, ensuring a well-rounded skillset.

Keep an open mind as you learn and practice SQL, and remember that consistent effort and curiosity are the keys to mastering it. All the best!