SQL Learning Resources and Tips

Top 7 Platforms for Mastering SQL (2026 Edition) As a Data Analyst, I can tell you that "mastering" SQL isn't just about learning the syntax (the SELECT and FROM); it’s about understanding how to manipulate data to answer business questions. To help you move from a beginner to an expert in 2026, here are my top 7 go to platforms and resources you can avail; 1. SQLBolt (Best for Absolute Beginners) - https://sqlbolt.com/ If you are starting from zero today, go here first. • Why it’s great: It’s a free, interactive, text-based site that gets you writing your first query within 30 seconds. No setup required. 2. LearnSQL.com (Best for Comprehensive Depth) - https://learnsql.com/ Unlike general platforms, this is dedicated entirely to SQL. It offers 75+ interactive courses. • Why it’s great: It has specific tracks for "Reporting in SQL" and "Revenue Trend Analysis," which are the bread and butter of daily data analyst work. 3. Mode Analytics (SQL Tutorial) (Best for Practical Business Context)- https://lnkd.in/gH6qhiQs Mode is actually a data collaboration platform used by companies, and their free tutorial is legendary in the analyst community. • Why it’s great: It teaches you SQL within an environment that looks exactly like the one you’ll use on the job. 4. DataLemur (Best for Interview Preparation) - https://datalemur.com/ Founded by a former Facebook/Google Data Scientist, this platform is specifically designed to help you ace the technical interview. • Why it’s great: It features actual SQL interview questions from top tech companies like Amazon, Spotify, and Netflix. 5. Dataquest (Best for Hands-on, No-Video Learning) - https://lnkd.in/gxYyijm6 If you find video tutorials slow or distracting, Dataquest is the best alternative. • Why it’s great: You learn by writing code directly in the browser. It follows a "learn by doing" philosophy that builds muscle memory quickly. 6. StrataScratch (Best for Advanced Analysts) - https://lnkd.in/gAQS4tSD Once you know the basics, StrataScratch bridges the gap between "knowing SQL" and "solving problems." • Why it’s great: It provides access to 1,000+ real interview questions and focuses on the analytical logic behind the query. 7. YouTube: Data with Baraa (Best Free Resource) - https://lnkd.in/gvGWUmJd For a structured, free roadmap, Baraa Khatib Salkini provides one of the best curated "Data Analyst free course" on YouTube. • Why it’s great: He explains the why behind the concepts and provides walkthroughs of end-to-end projects you can put in your portfolio.

Most beginners don’t fail at SQL because it’s “hard.” They fail because they learn it in the wrong order. They start with JOINs because JOINs look impressive. They copy a window function from a blog because it feels advanced. They watch a tutorial that jumps from SELECT * to “optimize your query” in 12 minutes. And the result is predictable: They can type SQL. But they can’t think in SQL. That’s what this roadmap gets right. It’s not a list of topics. It’s a dependency graph. Here’s how a beginner should use it. 1) Basics = vocabulary, not theory Before anything else: tables, rows, keys, types, and the shape of data. If you don’t understand what a table represents, every query becomes memorization. 2) DDL = learn how data is made CREATE, ALTER, schemas, indexes. Even if you’re “only querying,” understanding structure is what stops you from writing fragile SQL. 3) DML = learn how data is touched SELECT, WHERE, ORDER BY, LIMIT, plus INSERT/UPDATE/DELETE. This is where you build control. Not speed. 4) Aggregations = learn what questions sound like in SQL Counts, sums, averages. GROUP BY and HAVING. This is the first real “analytics brain” checkpoint. 5) Joins & Subqueries = learn relationships JOINs aren’t a trick. They’re how you model the real world: customers ↔ orders ↔ payments. If your basics and aggregations are solid, JOINs stop being scary. 6) Indexes & Transactions = learn what production cares about Performance, constraints, commits/rollbacks. This is where SQL stops being a practice tool and becomes an operational skill. 7) Advanced SQL = the power tools Window functions, CTEs, pivots, recursion, dynamic SQL. Useful. But only after you can reason clearly through steps 1–6. If you want to actually follow this roadmap without getting pulled into random tutorials, the 7 Day SQL Fastrack Learning Bundle is built for exactly that: structured progression and repetition you’ll remember. It includes: Implementation Guide (PDF): full curriculum from SELECT to complex joins, plus a real-world project building an E-Commerce database, and interview-ready coverage of aggregations + optimization Video Course (Bonus): watch queries run in real time (great if you learn visually) Pocket Book (Bonus): desk reference for joins and syntax rules Link: https://lnkd.in/g7DMDRax The real win isn’t “learning SQL.” It’s reaching the point where a business question instantly translates into a clean query plan in your head. That’s what this roadmap is for.

If you're learning SQL in 2025, this mindmap is your best friend. From beginners writing SELECT queries to advanced analysts optimizing joins and using window functions, this guide has it all: 1. 𝐒𝐐𝐋 𝐁𝐚𝐬𝐢𝐜𝐬 – SELECT, WHERE, ORDER BY, GROUP BY, and more. 2. 𝐅𝐢𝐥𝐭𝐞𝐫𝐢𝐧𝐠, 𝐒𝐨𝐫𝐭𝐢𝐧𝐠 & 𝐀𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐢𝐨𝐧s – Learn to slice data with conditions, BETWEEN, IN, and logical operators. 3. 𝐉𝐨𝐢𝐧𝐬 – Understand how to combine data from multiple tables with INNER, LEFT, RIGHT, and FULL OUTER joins. 4. 𝐖𝐢𝐧𝐝𝐨𝐰 𝐅𝐮𝐧𝐜𝐭𝐢𝐨ns – Use RANK(), LEAD(), LAG(), and ROW_NUMBER() for advanced analytics. 5. 𝐃𝐚𝐭𝐞 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧s – Work with time-based data using DATE_TRUNC(), EXTRACT(), NOW() etc. 6. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 – Perform statistical analysis and integrate with ML tools like BigQuery ML and Snowflake ML. 7. 𝐂𝐓𝐄𝐬, 𝐓𝐞𝐦𝐩 𝐓𝐚𝐛𝐥𝐞𝐬 & 𝐒𝐮𝐛𝐪𝐮𝐞𝐫𝐢𝐞s – Reuse logic with WITH clauses, recursive queries, and subqueries. 8. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨n – Learn indexing, query planning, and writing efficient queries for dashboards. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐓𝐢𝐩𝐬: - Use indexes on columns you frequently filter or join - Avoid SELECT * and only fetch the necessary columns - Use EXPLAIN or ANALYZE to understand query execution plans - Limit joins and subqueries when possible for better performance - Rewrite complex logic using CTEs or temp tables to improve readability 𝐇𝐨𝐰 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐒𝐐𝐋 𝐄𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞𝐥𝐲: – Practice simple SELECT, WHERE, and GROUP BY queries – Use sample datasets to understand INNER, LEFT, and FULL joins – Try window functions, date functions, and subqueries – Build dashboards or solve business problems using real-world data – Participate in SQL competitions or daily practice series Whether you're prepping for interviews, optimizing dashboards, or building data pipelines, this mindmap is your go-to reference. ♻️ Save it for later or share it with someone who might find it helpful! 𝐏.𝐒. I share job search tips and insights on data analytics & data science in my free newsletter. Join 15,000+ readers here → https://lnkd.in/dUfe4Ac6

If I were learning SQL in 2025, Here is exactly what I would do (+ resources) 👇 I have worked as a DS in 3 different companies. I have landed DS offers from 10 different companies. The number 1 skill I’ve used on the job & in interviews? It’s SQL. Yes, I’ve used SQL more than Python as a Data Scientist. So here's how to learn SQL from scratch. 𝟭. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗮 𝘀𝘁𝗿𝗼𝗻𝗴 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 Boring…. can’t we jump start into learning SQL? No! SQL = storing + extracting data from relational DB. So it’s really helpful to know relational databases. K͟e͟y͟ ͟c͟o͟n͟c͟e͟p͟t͟s͟ ↳ Rows vs. columns ↳ Tables vs. schemas vs. database ↳ Keys (primary, foreign & unique) ↳ Indexes ↳ Table relationships ↳ Data types: numeric, string, datetime, boolean Learn relational databases here: https://lnkd.in/gyt3q8AC 𝟮. 𝗟𝗲𝗮𝗿𝗻 𝗯𝗮𝘀𝗶𝗰 𝗦𝗤𝗟 We'll start with getting data out of a SINGLE table. F͟o͟u͟n͟d͟a͟t͟i͟o͟n͟s͟ ↳ SELECT ↳ FROM ↳ WHERE ↳ ORDER BY ↳ LIMIT ↳ AS C͟l͟e͟a͟n͟i͟n͟g͟ ͟d͟a͟t͟a͟ ↳ DISTINCT ↳ LIKE ↳ BETWEEN ↳ COALESCE ↳ CASE WHEN B͟a͟s͟i͟c͟ ͟a͟n͟a͟l͟y͟t͟i͟c͟s͟ ↳ GROUP BY ↳ HAVING ↳ COUNT ↳ SUM ↳ AVG ↳ MIN / MAX How to do analyses with SQL: https://lnkd.in/gvZjepWf 𝟯. 𝗟𝗲𝘃𝗲𝗹 𝘂𝗽 𝘆𝗼𝘂𝗿 𝗦𝗤𝗟 𝘀𝗸𝗶𝗹𝗹𝘀 C͟o͟m͟b͟i͟n͟i͟n͟g͟ ͟t͟a͟b͟l͟e͟s͟ ↳ JOINs (INNER, LEFT, RIGHT, FULL) ↳ UNION and UNION ALL ↳ CTEs vs subqueries W͟i͟n͟d͟o͟w͟ ͟f͟u͟n͟c͟t͟i͟o͟n͟s͟ ↳ OVER ↳ PARTITION BY ↳ ORDER BY ↳ ROWS BETWEEN ↳ SUM, AVG, MIN, MAX with windows ↳ RANK, ROW_NUMBER, NTILE, LAG, LEAD Intermediate SQL: https://lnkd.in/gKM9WkyA Advanced SQL: https://lnkd.in/grhDPTdK 𝟰. 𝗟𝗲𝗮𝗿𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗦𝗤𝗟 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 In the real-world we work with a lot of data at once. This is not a nice-to-have; it’s a must-have skill. Q͟u͟e͟r͟y͟ ͟o͟p͟t͟i͟m͟i͟z͟a͟t͟i͟o͟n͟ ͟t͟i͟p͟s͟ ↳ Avoid unnecessary data processing ↳ Reduce dataset size early ↳ Use indexes wisely ↳ Use EXPLAIN Get practice optimizing your queries: www.interviewmaster.ai 𝟱. 𝗔𝗽𝗽𝗹𝘆, 𝗯𝘂𝗶𝗹𝗱, 𝗮𝗻𝗱 𝗶𝘁𝗲𝗿𝗮𝘁𝗲 Build your own projects. But what projects should you build? Here are some ideas: ↳ Analyzing student’s mental health: https://lnkd.in/gZCUPpr5 ↳ What and where are the world’s oldest businesses: https://lnkd.in/gSWSdVt3 ↳ NYC public school test result scores: https://lnkd.in/g-SCsY5M 𝟲. 𝗣𝗿𝗲𝗽 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗿𝗼𝗹𝗲𝘀 Learn how SQL is used in the real-world: https://lnkd.in/gZt6bp-F And, of course, practice for SQL interviews - LeetCode: https://lnkd.in/gpcyVPh9 - Interview Master: https://lnkd.in/gvs2u8Bm - StrataScratch: https://lnkd.in/g9D9jZ9A ——— Starting from scratch? Learn all your SQL fundamentals in one place: https://lnkd.in/gNXW297S

If I had to learn SQL again in 2026, this is the roadmap I’d follow. Most people don’t fail at SQL because it’s hard. They fail because they learn it in the wrong order. 1. Foundations SELECT, WHERE, ORDER BY GROUP BY + Aggregations JOINS (INNER, LEFT - 80% of real work) Resources: ↳Mode SQL Tutorial → https://lnkd.in/g-eBSedR ↳W3Schools SQL → https://lnkd.in/guBSRiSF ↳Khan Academy SQL → https://lnkd.in/gEf39QMN 2. Intermediate Subqueries CASE WHEN Window functions (ROW_NUMBER, RANK, SUM OVER) Resources: ↳LeetCode SQL → https://lnkd.in/g2UnywfA ↳HackerRank SQL → https://lnkd.in/gSHTBye7 ↳StrataScratch → https://lnkd.in/gw68FQwa 3. Advanced CTEs (WITH clauses) Query optimization basics Handling messy/real-world data Resources: ↳SQL for Data Analytics (Udemy) → https://lnkd.in/gkPEvq-f ↳PostgreSQL EXPLAIN → https://lnkd.in/gvEwUep6 ↳Alex The Analyst (YouTube) → https://lnkd.in/giB86V8z 4. Real-world application (Most important) Solve business problems (not just practice questions) Work with real datasets Build projects (dashboards, reports) Resources: ↳BigQuery Public Datasets → https://lnkd.in/gBWeHKuw ↳Kaggle → https://lnkd.in/gKgtRgi7 ↳Maven Analytics → https://lnkd.in/gsTR37Vp 5. Bonus SQL + Python (pandas) SQL + BI tools (Power BI / Tableau) Basics of data pipelines Resources: ↳DataCamp → https://www.datacamp.com/ ↳Microsoft Learn (Power BI) → https://lnkd.in/gcxVHYPq ↳Google Data Analytics (Coursera) → https://lnkd.in/gx85UyJM I’ve used SQL across roles from analytics to product and one thing is clear: SQL is not just a skill. It’s a career unlock. If you’re starting today, don’t rush. Clarity > complexity. 📩Save this. You’ll need it later. #SQL #DataAnalytics #CareerGrowth #Learning #Tech

These are the 3 SQL resources you need to know from my 5+ years of experience in data science and analytics: 1. DataCamp Associate Data Analyst in SQL ↳ Even as a working professional, I have returned to DataCamp many times to improve my skills because it offers real world datasets to practice. You can also practice performing exploratory data analysis and learn data driven decision making using SQL. 2. Analyst Builder MySQL for Data Analytics ↳ I have personally followed Alex since the start of my data journey and I absolutely love how simply he breaks down complex concepts. You will get hands-on experience similar to how we use MySQL in the industry by learning about production databases and naming conventions. 𝗕𝗼𝗻𝘂𝘀 𝗧𝗶𝗽: You can also prepare for interviews by taking the MySQL interview crash course, which is great for job interview prep. 3. W3Schools.com ↳ Five or six years ago, when I started learning SQL, this was my go to platform and it is still one of the best places to start. If you are one of those people who hate creating new accounts the good news is, you don’t even need an account to practice. DataCamp: https://lnkd.in/g6UENyqQ Analyst Builder: https://lnkd.in/gvS7mjJd W3Schools.com: https://lnkd.in/gU_9AJVZ

When I started my data analytics journey, SQL was the first skill I focused on. And honestly, it’s the backbone of everything we do as data analysts. You can be great at dashboards or reports, but without solid SQL skills, it’s like trying to build a house without a foundation. If you're just starting out, or even revising your basics, here’s a simple SQL syllabus you can follow (divided by levels): 𝗘𝗮𝘀𝘆 𝗟𝗲𝘃𝗲𝗹 - CREATE, INSERT, UPDATE, ALTER, DELETE, DROP, TRUNCATE & DATA TYPES in SQL    - SELECT, DISTINCT, WHERE, LIKE, ORDER BY, LIMIT, TOP, AND, OR, NOT, IN, BETWEEN 𝗠𝗲𝗱𝗶𝘂𝗺 𝗟𝗲𝘃𝗲𝗹 - SUM, MAX, MIN, COUNT, AVG , GROUP BY, HAVING - JOINS - INNER JOIN, RIGHT JOIN, LEFT JOIN, OUTER JOIN & SELF JOIN 𝗠𝗲𝗱𝗶𝘂𝗺 𝘁𝗼 𝗛𝗮𝗿𝗱 𝗟𝗲𝘃𝗲𝗹 - EXISTS, UNION, UNION ALL, CTE - SUBQUERIES, DATE & TIME functions - CASE WHEN, WINDOW FUNCTIONS: ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG, NTILE, FIRST_VALUE, LAST_VALUE - Using AGGREGATE FUNCTIONS as WINDOW FUNCTIONS 💡 Tip: Practice each concept with real data sets. Just watching videos won’t help much unless you get your hands dirty with queries. Let me know if you're learning SQL — happy to share resources or help if you're stuck. Follow Pratik Sonawane for more data-related content and job posts. #SQL #Dataanalytics #LearningSQL #Dataanalyst #AnalyticsJourney #CareerInData #data