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

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Apr 20, 2026
4:19

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 Check out my Playlist: https://www.youtube.com/playlist?list=PLGT-z9cVth9mua-HvnqhN2FQTisyZjQ4B 💡 Subscribe for more LeetCode deep dives and FAANG prep! www.youtube.com/@datahead_girl #leetcode #sql #python #pandas #dataanalytics #interviewprep #datascience #coding

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