LeetCode 178: Rank Scores | SQL & Pandas Solution | Window Functions Explained

In this video, we solve LeetCode 178: Rank Scores using two of the most popular tools for data manipulation: MS SQL Server and Python Pandas.

This problem is a common interview question for Data Engineer and Data Analyst roles at companies like Amazon, Google, and Meta because it tests your understanding of ranking logic.

What you will learn:
✅ How to use the DENSE_RANK() window function in SQL.
✅ The difference between RANK() and DENSE_RANK().
✅ How to implement ranking in Pandas using the .rank(method='dense') method.
✅ How to handle ties and ensure consecutive ranking integers.

⏱️ Timestamps:
0:00 - Intro
1:12 - SQL Solution
2:42 - Python Pandas Solution

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Видео LeetCode 178: Rank Scores | SQL & Pandas Solution | Window Functions Explained канала DataHead Girl