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DAStop wasting time searching for SQL practice platforms!
SQLZoo is all you need interactive, free & beginner-friendly!!
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@datawithashok
#Sql Tutorial
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ASComment SQL and I’ll send you a link.
I built a platform to help you
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- Land your dream job
Give it a shot (free to get started) and let me know what you think!
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EMComment “SQL” to get links!
🚀 Want to master SQL without getting bored to tears? This mini roadmap takes you from “what is a database?” to solving complex crimes with code.
🎨 DrawSQL
Stop trying to visualize complex databases in your head. This tool lets you build beautiful Entity Relationship Diagrams (ERDs) just by dragging and dropping. It is the best way to understand how tables relate to each other—Foreign Keys and Joins finally make sense when you can actually see them.
⚡ SQLBolt
Perfect if you want to learn by doing, not reading. This site gives you bite-sized, interactive lessons right in your browser. No installation needed. You’ll race through the basics of SELECT, filtering, and aggregations with instant feedback on your code.
🕵️ SQL Murder Mystery
The ultimate way to practice. There has been a murder in SQL City, and you have to solve it by querying the police database. You will use advanced logic, joins, and wildcards to find the killer. It turns “studying” into a detective game you actually want to play.
💡 With these resources you will:
Visualize database architecture like a System Designer
Master the syntax through hands-on repetition
Build real-world problem-solving skills (and have fun doing it)
If you are aiming for Data Analytics or Backend Engineering roles, these 3 tools are your cheat sheet.
📌 Save this post so you don’t lose the roadmap.
💬 Comment “SQL” and I’ll send you the direct links. 👉 Follow for more content on Coding, Data, and Tech Careers.
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SUPractice SQL for free 📈 SQL in one of the must-know languages for all data roles including data scientist, data analyst and data engineer!
How did you learn SQL?
🔗 Link to the website: stratascratch.com/?via=sundas
🎥 YouTube SQL series: YouTube.com/sundaskhalid
Follow @sundaskhalidd for data science, tech, and AI educational content✨
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DAComment “SQL” and I’ll send you all the links
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If I had to learn SQL from scratch in 2025, I wouldn’t start with 10 courses or complicated tutorials…
I’d just follow 4 steps that actually make you job-ready 👇
🔥 Step 1: Learn the Basics (Free!)
Start with YouTube crash courses.
Alex the Analyst + FreeCodeCamp explain SQL like you’re five — simple, visual, and hands-on.
🔥 Step 2: Practice on Kaggle
Search “SQL exercises” or “beginner datasets.”
Work with real tables — sales, customers, movies. That’s where the fun begins.
🔥 Step 3: Build Mini Projects
Use DB Fiddle or SQLite Online.
Create your own database and ask real questions:
“What’s my top-selling product?” “Who are repeat customers?”
This is the step that changes everything.
🔥 Step 4: Share Your Work
Post your queries, dashboards, and insights on GitHub or Notion.
Recruiters love people who show their thinking, not just certificates.
You don’t learn SQL by watching…
You learn it by breaking queries and fixing them.
Comment “SQL” and I’ll send you all the links
Follow us @datawithsai to kick start your Data Analytics and Science journey.
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HUDay 8/21 – SQL Challenge
Solved 4 SQL questions today, mainly using window functions, self joins, and subqueries.
• Rising Temperature:
Used LAG() to compare today’s temperature with yesterday’s and filtered where today > previous day.
(Also possible using self join with date difference logic.)
• Customers Who Never Order:
Solved using
1.LEFT JOIN + NULL filter
2.NOT EXISTS subquery
• Repeated Payments (DataLemur):
Used LAG() to get previous transaction timestamp and calculated time difference.
Filtered payments repeated within 10 minutes for same card, merchant, and amount.
• Employees Earning More Than Their Manager:
Solved using self join on employee_id and manager_id and compared salaries.
Key learning:
Window functions + self joins make comparison-based problems much easier.
Day 9 loading…
@hustleuphoney
✨ Руководство по #Sql Tutorial
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