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所在平台: Udemy |
课程主页: https://www.udemy.com/course/grokking-graph-analytics-and-algorithms/
课程评论：没有评论
**课程名称：** 入门图分析与算法 **课程概述：** 本课程旨在帮助学习者理解、分析和操作图数据。课程从图的基本概念入手，解释了图是由节点（代表实体，如人、计算机或分子）和边（代表实体之间的关系，如友谊、连接或化学反应）组成的。 课程强调了图数据库在管理和分析图数据方面的重要性，指出它们优先考虑实体之间的关系，从而简化了数据分析过程，避免了复杂的键和连接操作。 课程强调了图数据在当今技术领域的广泛应用，例如社交网络（如Facebook）如何利用图数据来展示用户之间的关联。许多大型科技公司都依赖图数据分析来理解用户行为和内容互动。 **课程内容：** 本课程采用“直觉优先”的方法，深入讲解图分析的核心算法，并结合真实世界的案例，从零开始构建解决方案。课程专注于选择最关键的算法，帮助学习者打下坚实的基础。 **目标学员：** 本课程适合希望为进入职场做准备的学生、希望深入了解图数据并掌握新技术的专业人士，以及任何拥有好奇心并渴望学习新知识的学习者。 **总结：** “入门图分析与算法”课程为你提供了一个全面了解图数据及其在现代技术中不断增长的重要性。通过学习核心算法和实际应用，你将能够有效地分析和处理复杂的关联数据。
What is a graph?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't have to mess around with complicated keys and joins to analyze large portions of a system.Why are graph databases important?Graphs are growing in prevalence. Every time you visit Facebook, you're 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.What does this course teach?This course will provide an intuition-first approach to understanding, analyzing, and manipulating graph data.I've picked out only the most important algorithms, and build solutions from the ground up using real world examplesIs this course right for me?This course is intended for students who want to prepare for the workforce, professionals who want to learn more about graph data and keep abreast of new technology, and anyone with a curios mind and desire to learn.
