Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.
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大数据 专项课程加州大学圣地亚哥分校课程信息
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第 5 门课程（共 6 门）
完成时间大约为13 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版您将获得的技能
- Graph Theory
- Neo4j
- Analytics
- Graph Database
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 5 门课程（共 6 门）
完成时间大约为13 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版
提供方
加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
授课大纲 - 您将从这门课程中学到什么
完成时间为 4 分钟
Welcome to Graph Analytics
Meet your instructor, Amarnath Gupta and learn about the course objectives.
完成时间为 4 分钟
1 个视频 （总计 4 分钟）
完成时间为 3 小时
Introduction to Graphs
Welcome! This week we will get a first exposure to graphs and their use in everyday life. By the end of the module you will be able to create a graph applying core mathematical properties of graphs, and identify the kinds of analysis questions one might be able to ask of such a graph. We hope the you will be inspired as to how graphical representations might enable you to answer new Big Data problems!
完成时间为 3 小时
8 个视频 （总计 38 分钟）, 2 个阅读材料, 2 个测验
完成时间为 3 小时
Graph Analytics
完成时间为 3 小时
17 个视频 （总计 81 分钟）, 3 个阅读材料, 2 个测验
完成时间为 4 小时
Graph Analytics Techniques
Welcome to the 4th module in the Graph Analytics course. Last week, we got a glimpse of a number of graph properties and why they are important. This week we will use those properties for analyzing graphs using a free and powerful graph analytics tool called Neo4j. We will demonstrate how to use Cypher, the query language of Neo4j, to perform a wide range of analyses on a variety of graph networks.
完成时间为 4 小时
10 个视频 （总计 78 分钟）, 12 个阅读材料, 2 个测验
审阅
- 5 stars55.72%
- 4 stars26.59%
- 3 stars11.29%
- 2 stars3.60%
- 1 star2.78%
来自GRAPH ANALYTICS FOR BIG DATA的热门评论
由 JA 提供Oct 27, 2018
I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....
由 LK 提供Jul 20, 2017
Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.
由 JC 提供Dec 8, 2018
Graphs are quite interesting and in many cases offer a better representation than relational databases.
One can gain lots of insights looking at graphs.
由 MP 提供Apr 16, 2020
great introduction to networks and exposure to software tools that can be used to graph and analyze large scale graph data.
关于 大数据 专项课程
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
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