These Algorithms Helps You To Get Your Dream Job in 2025🔥🔥
Top 5 Algorithms to Learn for Every Skill Level – Crack Any Coding Interview!
Want to ace your next coding interview? This video breaks down the top 5 algorithms for *beginners, intermediates, and advanced programmers*, along with helpful resources to master each one.
🔹 Beginner Level – Lay the Foundation
1. Bubble Sort – Simple sorting algorithm to understand swapping.
📌 [Learn Bubble Sort](https://www.geeksforgeeks.org/bubble-...)
2. Binary Search – Quickly finds elements in sorted arrays.
📌 [Learn Binary Search](https://www.geeksforgeeks.org/binary-...)
3. Two Pointer Technique – Efficiently solves array and string problems.
📌 [Learn Two Pointers](https://www.geeksforgeeks.org/two-poi...)
4. Kadane’s Algorithm – Finds the maximum subarray sum in O(n) time.
📌 [Learn Kadane’s Algorithm](https://www.geeksforgeeks.org/largest...)
5. Sliding Window – Optimizes problems with subarrays and dynamic ranges.
📌 [Learn Sliding Window](https://www.geeksforgeeks.org/window-...)
🔹 Intermediate Level – Level Up
1. Merge Sort – A powerful divide-and-conquer sorting algorithm.
📌 [Learn Merge Sort](https://www.geeksforgeeks.org/merge-s...)
2. QuickSort – Fast in-place sorting using partitioning.
📌 [Learn QuickSort](https://www.geeksforgeeks.org/quick-s...)
3. Dijkstra’s Algorithm – Finds the shortest path in weighted graphs.
📌 [Learn Dijkstra’s Algorithm](https://www.geeksforgeeks.org/dijkstr...)
4. Backtracking (e.g., N-Queens) – Explores all possibilities for solving problems.
📌 [Learn Backtracking](https://www.geeksforgeeks.org/backtra...)
5. Dynamic Programming (e.g., Knapsack) – Breaks problems into overlapping subproblems.
📌 [Learn Dynamic Programming](https://www.geeksforgeeks.org/dynamic...)
🔹 Advanced Level – Become a Pro
1. Segment Trees – Efficiently handles range queries like sum or minimum.
📌 [Learn Segment Trees](https://www.geeksforgeeks.org/segment...)
2. Trie (Prefix Tree) – Useful for string problems like autocomplete.
📌 [Learn Tries](https://www.geeksforgeeks.org/trie-in...)
3. Kruskal’s Algorithm – Builds minimum spanning trees for graphs.
📌 [Learn Kruskal’s Algorithm](https://www.geeksforgeeks.org/kruskal...)
4. Ford-Fulkerson – Solves max-flow problems in networks.
📌 [Learn Ford-Fulkerson](https://www.geeksforgeeks.org/ford-fu...)
5. A Algorithm* – The most optimal pathfinding method used in AI and games.
📌 [Learn A* Algorithm](https://www.geeksforgeeks.org/a-searc...)
🎯 By mastering these algorithms, you’ll be ready to crack any coding interview!
📢 Check the links above for tutorials and start practicing today! 🚀
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