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Post #2223 2.72K
🚀🔥 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 — 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺
Master the most in-demand AI skill in today’s job market: building autonomous AI systems.

In Ready Tensor’s free, project-first program, you’ll create three portfolio-ready projects using 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, and vector databases — and deploy production-ready agents that employers will notice.

Includes guided lectures, videos, and code.
𝗙𝗿𝗲𝗲. 𝗦𝗲𝗹𝗳-𝗽𝗮𝗰𝗲𝗱. 𝗖𝗮𝗿𝗲𝗲𝗿-𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴.

👉 Apply now: https://go.readytensor.ai/agentic-ai-cert-coding-projects
www.readytensor.ai Ready Tensor - The Global Hub for AI Developers Ready Tensor is the global publishing and discovery hub for AI developers. Built by AI experts, it enables you to document, share, and showcase complete AI/ML projects — from code to results — with professional polish, AI-powered tools, and instant visibility.…
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Post #2221 2.54K
Python Projects For Hacking
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Post #2211 2.65K
🖥 VS Code Themes You Should Try
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Post #2209 2.46K
🧪 Real-world SQL Scenarios & Challenges

Let’s dive into the types of real-world problems you’ll encounter as a data analyst, data scientist , data engineer, or developer.


1. Finding Duplicates

SELECT name, COUNT(*)
FROM employees
GROUP BY name
HAVING COUNT(*) > 1;

Perfect for data cleaning and validation tasks.


2. Get the Second Highest Salary

SELECT MAX(salary) AS second_highest
FROM employees
WHERE salary < (
SELECT MAX(salary)
FROM employees
);


3. Running Totals

SELECT name, salary,
SUM(salary) OVER (ORDER BY id) AS running_total
FROM employees;

Essential in dashboards and financial reports.


4. Customers with No Orders

SELECT c.customer_id, c.name
FROM customers c
LEFT JOIN orders o ON c.customer_id = o.customer_id
WHERE o.order_id IS NULL;

Very common in e-commerce or CRM platforms.


5. Monthly Aggregates

SELECT DATE_TRUNC('month', order_date) AS month,
COUNT(*) AS total_orders
FROM orders
GROUP BY month
ORDER BY month;

Great for trends and time-based reporting.


6. Pivot-like Output (Using CASE)

SELECT
department,
COUNT(CASE WHEN gender = 'Male' THEN 1 END) AS male_count,
COUNT(CASE WHEN gender = 'Female' THEN 1 END) AS female_count
FROM employees
GROUP BY department;

Super useful for dashboards and insights.


7. Recursive Queries (Org Hierarchy or Tree)

WITH RECURSIVE employee_tree AS (
SELECT id, name, manager_id
FROM employees
WHERE manager_id IS NULL

UNION ALL

SELECT e.id, e.name, e.manager_id
FROM employees e
INNER JOIN employee_tree et ON e.manager_id = et.id
)
SELECT * FROM employee_tree;

Used in advanced data modeling and tree structures.


You don’t just need to know how SQL works — you need to know when to use it smartly!

React with ❤️ if you’d like me to explain more data analytics topics

Share with credits: https://t.me/sqlspecialist

SQL Roadmap: https://t.me/sqlspecialist/1340

Hope it helps :)
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Post #2201 2.46K
How to create Frontend development Portfolio
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