課程信息
43,771 次近期查看

第 5 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為15 小時

建議:4 Weeks, 3-5 hours/week...

英語(English)

字幕:英語(English), 韓語

您將獲得的技能

Graph TheoryNeo4jAnalyticsGraph Database

第 5 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為15 小時

建議:4 Weeks, 3-5 hours/week...

英語(English)

字幕:英語(English), 韓語

學習Course的學生是

  • Data Scientists
  • Data Engineers
  • Biostatisticians
  • Machine Learning Engineers
  • Chief Technology Officers (CTOs)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 分鐘

Welcome to Graph Analytics

1 個視頻 (總計 4 分鐘)
2
完成時間為 3 小時

Introduction to Graphs

8 個視頻 (總計 38 分鐘), 2 個閱讀材料, 2 個測驗
8 個視頻
Why Graphs?2分鐘
Why Graphs? Example 1: Social Networking3分鐘
Why Graphs? Example 2: Biological Networks3分鐘
Why Graphs? Example 3: Human Information Network Analytics3分鐘
Why Graphs? Example 4: Smart Cities2分鐘
The Purpose of Analytics1分鐘
What are the impact of Big Data's V's on Graphs?12分鐘
2 個閱讀材料
What to learn in this module10分鐘
Download Slides for this Module10分鐘
1 個練習
Introduction to Graphs24分鐘
3
完成時間為 3 小時

Graph Analytics

17 個視頻 (總計 81 分鐘), 3 個閱讀材料, 2 個測驗
17 個視頻
Path Analytics6分鐘
The Basic Path Analytics Question: What is the Best Path?4分鐘
Applying Dijkstra's Algorithm5分鐘
Inclusion and Exclusion Constraints1分鐘
Connectivity Analytics3分鐘
Disconnecting a Graph1分鐘
Connectedness: Indegree and Outdegree3分鐘
Community Analytics and Local Properties7分鐘
Global Property: Modularity7分鐘
Centrality Analytics8分鐘
Optional Lecture 1: Bi-directional Dijkstra Algorithm2分鐘
Optional Lecture 2: Goal-directed Dijkstra Algorithm2分鐘
Optional Lecture 3: Power Law Graphs2分鐘
Optional Lecture 4: Measuring Graph Evolution3分鐘
Optional Lecture 5: Eigenvector Centrality6分鐘
Optional Lecture 6: Key Player Problems2分鐘
3 個閱讀材料
What to learn in this module10分鐘
If this module takes a little longer... that's OK!10分鐘
Download All Slides for Module 310分鐘
2 個練習
Graph Analytics Applications34分鐘
Connectivity, Community, and Centrality Analytics38分鐘
4
完成時間為 4 小時

Graph Analytics Techniques

10 個視頻 (總計 78 分鐘), 12 個閱讀材料, 2 個測驗
10 個視頻
Hands-On: Downloading, Installing, and Running Neo4j5分鐘
Hands-On: Getting Started With Neo4j6分鐘
Hands-On: Modifying a Graph With Neo4j7分鐘
Hands-On: Importing Data Into Neo4j13分鐘
Hands-On: Basic Queries in Neo4j With Cypher - Part 16分鐘
Hands-On: Basic Queries in Neo4j With Cypher - Part 26分鐘
Hands-On: Path Analytics in Neo4j Using Cypher - Part 18分鐘
Hands-On: Path Analytics in Neo4j Using Cypher - Part 211分鐘
Hands-On: Connectivity Analytics in Neo4j With Cypher9分鐘
12 個閱讀材料
About the Supplementary Resources10分鐘
Downloading, Installing, and Running Neo4j - Supplementary Resources10分鐘
Getting Started With Neo4j - Supplementary Resources10分鐘
Adding to and Modifying a Graph - Supplementary Resources10分鐘
Download datasets used in this Graph Analytics with Neo4j10分鐘
Importing Data Into Neo4j - Supplementary Resources10分鐘
FAQ10分鐘
Basic Queries in Neo4j With Cypher - Supplementary Resources10分鐘
Path Analytics in Neo4j With Cypher - Supplementary Resources10分鐘
Connectivity Analytics in Neo4j with Cypher - Supplementary Resources10分鐘
Assignment: Practicing Graph Analytics in Neo4j With Cypher10分鐘
Download All Neo4j Supplementary Resources (PDFs)10分鐘
2 個練習
Quiz: Graph Analytics With Neo4j18分鐘
Assessment Questions on 'Practicing Graph Analytics in Neo4j With Cypher'18分鐘
4.2
158 個審閱Chevron Right

45%

完成這些課程後已開始新的職業生涯

29%

通過此課程獲得實實在在的工作福利

來自Graph Analytics for Big Data的熱門評論

創建者 KMDec 17th 2017

Got an amazing introduction to Graph Analytics in Big Data. Technical issues with Neo4J made this course a little more challenging than necessary. But the introduction to Spark GraphX was invaluable.

創建者 JTOct 26th 2016

This course was excellent as an introduction to Graph Analytics and using Neo4j. Not only did I learn a lot, I've been given tasks related to what I've learned in this course after finishing it.

講師

Avatar

Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

關於 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....

關於 大数据 專項課程

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....
大数据

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 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。

還有其他問題嗎?請訪問 學生幫助中心