Undergraduate Certificate in Practical Applications of Graph Theory in Data Science
-- ViewingNowThe Undergraduate Certificate in Practical Applications of Graph Theory in Data Science is a comprehensive course that bridges the gap between abstract graph theory concepts and their real-world applications in data science. This certificate program meets the growing industry demand for professionals who can leverage graph theory to tackle complex data problems.
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⢠Introduction to Graph Theory in Data Science
⢠Fundamentals of Graph Data Structures and Algorithms
⢠Graph Representation Methods: Adjacency Matrix vs Adjacency List
⢠Pathfinding Algorithms in Graphs: Dijkstra, Bellman-Ford, and A\*
⢠Minimum Spanning Trees: Prim's and Kruskal's Algorithms
⢠Social Network Analysis using Graph Theory
⢠Graph Neural Networks and Deep Learning for Data Science
⢠Graph-based Anomaly Detection and Fraud Prevention
⢠Scalable Graph Analytics with Apache Hama, Giraph, and GraphX
⢠Real-world Applications and Case Studies of Graph Theory in Data Science
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