本课程是大数据专项课程专项课程的一部分

4.3
星
1,211 个评分
•
233 条评论

Amarnath Gupta

44,053 人已注册

提供方

大数据专项课程加州大学圣地亚哥分校

课程信息

20,111 次近期查看

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.
After completing this course, you will be able to model a problem into a graph database and perform analytical tasks over the graph in a scalable manner.  Better yet, you will be able to apply these techniques to understand the significance of your data sets for your own projects.

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）

大数据专项课程

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）

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）

大数据专项课程

完成时间大约为13 小时

英语（English）

授课教师

授课教师评分

4.42/5 （59 个评分）

Amarnath Gupta

Director, Advanced Query Processing Lab

San Diego Supercomputer Center (SDSC)

417,223 个学生

9 门课程

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

内容评分89%（3,779 个评分）

周

周 1

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）

周

周 2

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

8 个视频

What is a Graph?7分钟

Why Graphs?2分钟

Why Graphs? Example 1: Social Networking3分钟

Why Graphs? Example 2: Biological Networks3分钟

Why Graphs? Example 3: Human Information Network Analytics3分钟

Why Graphs? Example 4: Smart Cities2分钟

The Purpose of Analytics1分钟

What are the impact of Big Data's V's on Graphs?12分钟

2 个阅读材料

What to learn in this module10分钟

Download Slides for this Module10分钟

1 个练习

Introduction to Graphs30分钟

周

周 3

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

17 个视频

Focusing On Graph Analytics Techniques10分钟

Path Analytics6分钟

The Basic Path Analytics Question: What is the Best Path?4分钟

Applying Dijkstra's Algorithm5分钟

Inclusion and Exclusion Constraints1分钟

Connectivity Analytics3分钟

Disconnecting a Graph1分钟

Connectedness: Indegree and Outdegree3分钟

Community Analytics and Local Properties7分钟

Global Property: Modularity7分钟

Centrality Analytics8分钟

Optional Lecture 1: Bi-directional Dijkstra Algorithm2分钟

Optional Lecture 2: Goal-directed Dijkstra Algorithm2分钟

Optional Lecture 3: Power Law Graphs2分钟

Optional Lecture 4: Measuring Graph Evolution3分钟

Optional Lecture 5: Eigenvector Centrality6分钟

Optional Lecture 6: Key Player Problems2分钟

3 个阅读材料

What to learn in this module10分钟

If this module takes a little longer... that's OK!10分钟

Download All Slides for Module 310分钟

2 个练习

Graph Analytics Applications30分钟

Connectivity, Community, and Centrality Analytics30分钟

周

周 4

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

10 个视频

Welcome to Graph Analytics Techniques2分钟

Hands-On: Downloading, Installing, and Running Neo4j5分钟

Hands-On: Getting Started With Neo4j6分钟

Hands-On: Modifying a Graph With Neo4j7分钟

Hands-On: Importing Data Into Neo4j13分钟

Hands-On: Basic Queries in Neo4j With Cypher - Part 16分钟

Hands-On: Basic Queries in Neo4j With Cypher - Part 26分钟

Hands-On: Path Analytics in Neo4j Using Cypher - Part 18分钟

Hands-On: Path Analytics in Neo4j Using Cypher - Part 211分钟

Hands-On: Connectivity Analytics in Neo4j With Cypher9分钟

12 个阅读材料

About the Supplementary Resources10分钟

Downloading, Installing, and Running Neo4j - Supplementary Resources10分钟

Getting Started With Neo4j - Supplementary Resources10分钟

Adding to and Modifying a Graph - Supplementary Resources10分钟

Download datasets used in this Graph Analytics with Neo4j10分钟

Importing Data Into Neo4j - Supplementary Resources10分钟

FAQ10分钟

Basic Queries in Neo4j With Cypher - Supplementary Resources10分钟

Path Analytics in Neo4j With Cypher - Supplementary Resources10分钟

Connectivity Analytics in Neo4j with Cypher - Supplementary Resources10分钟

Assignment: Practicing Graph Analytics in Neo4j With Cypher10分钟

Download All Neo4j Supplementary Resources (PDFs)10分钟

2 个练习

Quiz: Graph Analytics With Neo4j30分钟

Assessment Questions on 'Practicing Graph Analytics in Neo4j With Cypher'30分钟

审阅

4.3

233 条评论

5 stars
55.56%
4 stars
26.71%
3 stars
11.29%
2 stars
3.62%
1 star
2.80%

来自GRAPH ANALYTICS FOR BIG DATA的热门评论

由 SS 提供Feb 14, 2018

Excellent information and quite condensed. Since it is not examined, its ok for it to be condensed, for future reference we know where to get the information.

由 AK 提供Nov 22, 2020

Interesting course but Week 5 was exceptionally buggy. Is that on purpose to help us learn about small errors that can creep in OR has the course not been updated for quite some time?

由 NR 提供Apr 8, 2019

Some of the hands-on practices fail due to unknown issues but, after reading the blogs somebody finds solutions but nobody from courser or UC help or adv

由 AK 提供Oct 18, 2016

Good Course to get introduced to Graph Analytics , Neo4j, Cypher Graph Query Language , GraphX through Spark. Really enjoyed hands-on exercises

查看所有评论

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.

********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.

常见问题

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
有助学金吗？
是的。如果您负担不起学习计划的注册费，则可以在选择学习计划时申请助学金或奖学金。如果您选择的学习计划提供助学金或奖学金，则您将在描述页面上看到一个申请链接。

还有其他问题吗？请访问学生帮助中心。

Graph Analytics for Big Data

课程信息

您将获得的技能