{"id":3171,"date":"2026-08-10T09:02:37","date_gmt":"2026-08-10T09:02:37","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-grokking-graph-analytics-and-algorithms-2021-11\/"},"modified":"2026-08-10T09:02:37","modified_gmt":"2026-08-10T09:02:37","slug":"udemy-grokking-graph-analytics-and-algorithms-2021-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-grokking-graph-analytics-and-algorithms-2021-11\/","title":{"rendered":"Udemy \u2013 Grokking Graph Analytics and Algorithms 2021-11"},"content":{"rendered":"
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Descriptions<\/h2>\n

Grokking Graph Analytics and Algorithms, A Graph is a collection of Nodes and Edges. The nodes represent entities, such as people, computers in a network, or molecules in a chemical reaction. The edges represent the relationships between them such as friendships (or frenemies), direct connections, or constituents in a reaction. Graph databases are online systems that let people manage graph data. Unlike older databases, priority is given to relationships between entities. This means you don\u2019t have to mess around with complicated keys and joins to analyze large portions of a system. Graphs are growing in prevalence. Every time you visit Facebook, you\u2019re getting information on first, second, and even third-degree connections to you and your friends. The biggest tech companies around leverage graph data and analytics to understand how users relate to each other, and with the content on their site. This course will provide an intuition-first approach to understanding, analyzing, and manipulating graph data. I\u2019ve picked out only the most important algorithms, and build solutions from the ground up using real world examples<\/p>\n

What you\u2019ll learn<\/h3>\n