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Graph data Structure, in this course you'll dive into the fundamentals of graph data structures, essential for representing relationships between elements in a structured way. Learn about nodes, edges, and the different types of graphs, including directed, undirected, weighted, and unweighted. We'll explore various representation techniques like adjacency lists and matrices, and master essential operations such as adding/removing nodes or edges. You'll also discover powerful traversal algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS) and learn to solve real-world problems like finding shortest paths using Dijkstra’s algorithm. With hands-on coding exercises, this course equips you to implement and optimize graph structures for applications in networking, data science, AI, and more. Whether you're a beginner or looking to expand your programming skills, this course provides a solid foundation in graph theory and practical implementation.
