Essential Data Structures and Algorithms to Master for Tech Interviews in 2025

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Asked By TechSavvyGuru82 On

Hey folks! I'm gearing up to dive back into Data Structures and Algorithms (DSA) with a goal of confidently tackling LeetCode problems and preparing for software engineering job interviews. With my Master's degree in Computer Science, I understand there's a wide array of DSA topics available, but I'm curious to know which ones are truly essential for success in interviews. Specifically, which data structures and algorithms should I prioritize for LeetCode and tech interviews? Thanks for your insights!

5 Answers

Answered By DataGeek101 On

I hear there’s a DSA course specifically designed by LeetCode that targets interview prep. Might be worth checking out!

Answered By CodeNinja77 On

You really can't go wrong with graphs! They’re super versatile since many data structures can be viewed as graphs. Plus, understanding them can help in solving a ton of problems effectively.

Answered By DebuggingMaster On

Honestly, it’s interesting that even with a Master's, some people still find it challenging to land interviews for software engineering roles. Just goes to show how practical skills can be just as important as academic credentials!

Answered By AlgorithmWhiz On

Just a heads-up, mastering DSA isn't just about what's on LeetCode. It’s important to grasp the concepts behind these structures and algorithms. It feels like learning the rules of chess versus just trying to win a game against an AI—there’s a lot more to it!

Answered By SmartCoder99 On

Depending on the companies you’re targeting, the focus might shift a bit. For Amazon and JPMC, prioritize lists, hashmaps, and algorithms like divide and conquer or greedy algorithms. But if you're eyeing places like Google or Meta, make sure to dig deep into lists, hashmaps, graphs, and things like depth-first/breadth-first search. Don't forget dynamic programming and string manipulation algorithms either!

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