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These free learning resources cover everything from database fundamentals to advanced SQL queries, with opportunities to practice real-world problems.

🎯 Top FREE SQL Resources:
1️⃣ Introduction to Databases & SQL — Udemy
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🔥 SQL Interview Question of the Day

📌 Scenario:

A food delivery company wants to find the average delivery time taken by each city.

You have one table:

deliveries

• delivery_id
• customer_id
• city
• order_time
• delivery_time

☑ Solution:

SELECT
city,
AVG(
TIMESTAMPDIFF(MINUTE, order_time, delivery_time)
) AS avg_delivery_time
FROM deliveries
GROUP BY city
ORDER BY avg_delivery_time;

💡 Concept Tested:

GROUP BY + Date Time Functions + Aggregate Functions

(Calculating Performance Metrics From Time-Based Data)

❤️ React if you want more SQL interview questions.

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🔥 Power BI Interview Question of the Day

📌 Scenario:

A sales manager wants to compare each product's sales with the average sales of its category.

You have one table:

sales

• product_id
• category
• sales_amount

☑ Solution (DAX):

Category Avg Sales =
CALCULATE(
AVERAGE(sales[sales_amount]),
ALLEXCEPT(sales, sales[category])
)

Sales vs Category Avg =
sales[sales_amount] - [Category Avg Sales]

💡 Concept Tested:

CALCULATE() + ALLEXCEPT() (Calculating Category-Level Averages)

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🎯 Perfect for Students • Freshers • Job Seekers • Aspiring Data Analysts

🔥 SQL Interview Question of the Day

📌 Scenario:

A streaming platform wants to find the most watched movie in each genre.

You have one table:

watch_history

• user_id
• movie_id
• movie_name
• genre
• watch_time_minutes

☑ Solution:

SELECT
genre,
movie_name,
total_watch_time
FROM (
SELECT
genre,
movie_name,
SUM(watch_time_minutes) AS total_watch_time,
RANK() OVER (
PARTITION BY genre
ORDER BY SUM(watch_time_minutes) DESC
) AS rnk
FROM watch_history
GROUP BY genre, movie_name
) t
WHERE rnk = 1;

💡 Concept Tested:

Window Functions + RANK() + GROUP BY + Aggregate Functions

❤️ React if you want more SQL interview questions.

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⏰ Time: 7:00 PM

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