SQL for Data Analytics Interview: Booking.com Case Study + Real Questions Explained | Part 1/2

Описание: #datascience #dataanalytics #interview

In this video, we solve a real-world SQL case study often asked in Data Analyst and Business Analyst interviews.

We break down a hotel booking scenario where you learn how to:
a. Create and use temporary tables
b. Write clean SQL to calculate conversion rate
c. Apply real business logic behind metrics
d. Group insights by country and device type
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What is covered in this video?
Q1.Calculate the cancellation rate for each room type over the last 6 months, considering only bookings with a minimum stay of 2 nights.

Q2.Determine the average conversion rate (confirmed bookings vs. search events) for users grouped by their country and device type.

Q3. Identify properties that have consistently underperformed compared to the average booking rate of their region over the last 12 months.

Q4. Detect instances of demand surge where the number of bookings in an hour exceeds the hourly average by more than 50%.

Solution File: https://drive.google.com/file/d/1Dy_n...

📺 Part 2 Coming Soon for these questions:
https://whatsapp.com/channel/0029Vb68...

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🔍 Keywords:
SQL interview questions, SQL case study, conversion rate analysis, temp tables SQL, data analyst interview, country device analysis, analytics interview, hotel booking data, SQL group by, SQL business case, real-world SQL problems, SQL for beginners, advanced SQL


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