Grokking Graph Algorithms for Coding Interviews

Unlock the secrets of graph algorithms and ace your coding interviews with confidence!
Level:
Beginner
Study Time:
50h
Lessons:
117
Playgrounds :
127
3.9
(3,287 ratings)
12,357 learners
Course Overview

This course is designed for software engineers, and anyone preparing for technical interviews at top-tier companies like FAANG. Whether you are a beginner or looking to deepen your understanding of graph algorithms, this course is for you. We start with the basics of graphs, including BFS and DFS traversal, matrix representations, and graph theory fundamentals. From there, we explore advanced topics such as Union-Find, topological sorting, shortest path algorithms (Dijkstra's, Bellman-Ford, Floyd-Warshall), and minimum spanning tree algorithms (Kruskal's, Prim's, Boruvka's). Each section includes detailed explanations and practical problems to enhance your learning experience.

Our goal is to ensure you feel confident and well-prepared for your graph-related interview questions. The course content is tailored to reflect the types of questions you might encounter in real-world technical interviews, providing a solid foundation in graph data structures and algorithms. Join us to master graph theory and excel in your next coding interview!

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Course Content
10 Chapters • 117 Lessons
1.
Introduction
1 lesson
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