Are you preparing for FAANG coding interviews? This course on graph data structures is designed specifically for software engineers like you.

Master the essentials of graphs, from basic terminology and types to complex traversal methods like Breadth-First Search (BFS) and Depth-First Search (DFS). This course demystifies graph theory, making it easy to understand and apply key concepts in your coding interviews. You'll also dive into practical topics such as matrix representation of graphs, efficient traversal techniques, and the powerful Union-Find data structure for handling disjoint sets.

The course goes beyond the basics to ensure you're interview-ready with advanced topics like topological sorting, crucial for managing directed acyclic graphs, and shortest path algorithms, including Dijkstra's, Bellman-Ford, and Floyd-Warshall. You'll also learn to tackle minimum spanning tree problems with Kruskal's, Prim's, and Boruvka's algorithms. Our comprehensive approach ensures that you not only understand the theory but can also apply these concepts in real coding interview questions, giving you the confidence to ace your FAANG interviews.

Course Content

1. Graph Basics:

   • Understand the fundamentals of graphs, including terminology and types of graphs.

2. Graph BFS Traversal:

   • Learn Breadth-First Search (BFS) and its applications in graph traversal.

3. Graph DFS Traversal:

   • Dive into Depth-First Search (DFS) and explore its use cases in graph exploration.

4. Matrix Graphs:

   • Study graphs represented as matrices and techniques for efficient traversal.

5. Graph Theory:

   • Gain a solid understanding of graph theory concepts and their practical applications.

6. Union Find:

   • Master the Union-Find data structure for disjoint-set operations, crucial for cycle detection and other algorithms.

7. Topological Sort:

   • Learn topological sorting for directed acyclic graphs (DAGs) and its applications.

8. Shortest Path in the Graph:

   • Explore shortest path algorithms including:
     • Dijkstra's Algorithm
     • Bellman-Ford Algorithm
     • Floyd-Warshall Algorithm

9. Minimum Spanning Tree:

   • Understand the concepts and algorithms to find MSTs, including:
     • Kruskal's Algorithm
     • Prim's Algorithm
     • Boruvka's Algorithm

Key Features

• In-depth Introduction and Practice Problems: Each pattern includes a thorough introduction followed by a set of practice problems with solutions to reinforce your understanding.
• Targeted for All Levels: This course is designed to cater to all levels of learners, from beginners to advanced professionals.
• Focused on FAANG Interviews: The course content is tailored to help you crack technical interviews at FAANG and other prestigious companies.

Target Audience

• Beginners: Start with the basics and gradually progress to more complex topics.
• Intermediate Learners: Strengthen your existing knowledge and tackle more challenging problems.
• Advanced Professionals: Deepen your understanding of graph algorithms and master advanced techniques.
• Job Seekers: Prepare for technical interviews with a focus on real-world applications and problem-solving.

By the end of this course, you will have a strong foundation in graph data structures and algorithms, empowering you to solve complex problems efficiently.

Join us on this journey to master graphs and elevate your programming skills to the next level.