About this Course
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다음 전문 분야의 6개 강좌 중 5번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 15시간 필요

권장: 4 Weeks, 3-5 hours/week...

영어

자막: 영어, 한국어
User
Course을(를) 수강하는 학습자
  • Data Scientists
  • Biostatisticians
  • Data Engineers
  • Machine Learning Engineers
  • Data Analysts

귀하가 습득할 기술

Graph TheoryNeo4jAnalyticsGraph Database
User
Course을(를) 수강하는 학습자
  • Data Scientists
  • Biostatisticians
  • Data Engineers
  • Machine Learning Engineers
  • Data Analysts

다음 전문 분야의 6개 강좌 중 5번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 15시간 필요

권장: 4 Weeks, 3-5 hours/week...

영어

자막: 영어, 한국어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 4분 필요

Welcome to Graph Analytics

1개 동영상 (총 4분)
2
완료하는 데 3시간 필요

Introduction to Graphs

8개 동영상 (총 38분), 2 readings, 2 quizzes
8개의 동영상
Why Graphs?2m
Why Graphs? Example 1: Social Networking3m
Why Graphs? Example 2: Biological Networks3m
Why Graphs? Example 3: Human Information Network Analytics3m
Why Graphs? Example 4: Smart Cities2m
The Purpose of Analytics1m
What are the impact of Big Data's V's on Graphs?12m
2개의 읽기 자료
What to learn in this module10m
Download Slides for this Module10m
1개 연습문제
Introduction to Graphs24m
3
완료하는 데 3시간 필요

Graph Analytics

17개 동영상 (총 81분), 3 readings, 2 quizzes
17개의 동영상
Path Analytics6m
The Basic Path Analytics Question: What is the Best Path?4m
Applying Dijkstra's Algorithm5m
Inclusion and Exclusion Constraints1m
Connectivity Analytics3m
Disconnecting a Graph1m
Connectedness: Indegree and Outdegree3m
Community Analytics and Local Properties7m
Global Property: Modularity7m
Centrality Analytics8m
Optional Lecture 1: Bi-directional Dijkstra Algorithm2m
Optional Lecture 2: Goal-directed Dijkstra Algorithm2m
Optional Lecture 3: Power Law Graphs2m
Optional Lecture 4: Measuring Graph Evolution3m
Optional Lecture 5: Eigenvector Centrality6m
Optional Lecture 6: Key Player Problems2m
3개의 읽기 자료
What to learn in this module10m
If this module takes a little longer... that's OK!10m
Download All Slides for Module 310m
2개 연습문제
Graph Analytics Applications34m
Connectivity, Community, and Centrality Analytics38m
4
완료하는 데 4시간 필요

Graph Analytics Techniques

10개 동영상 (총 78분), 12 readings, 2 quizzes
10개의 동영상
Hands-On: Downloading, Installing, and Running Neo4j5m
Hands-On: Getting Started With Neo4j6m
Hands-On: Modifying a Graph With Neo4j7m
Hands-On: Importing Data Into Neo4j13m
Hands-On: Basic Queries in Neo4j With Cypher - Part 16m
Hands-On: Basic Queries in Neo4j With Cypher - Part 26m
Hands-On: Path Analytics in Neo4j Using Cypher - Part 18m
Hands-On: Path Analytics in Neo4j Using Cypher - Part 211m
Hands-On: Connectivity Analytics in Neo4j With Cypher9m
12개의 읽기 자료
About the Supplementary Resources10m
Downloading, Installing, and Running Neo4j - Supplementary Resources10m
Getting Started With Neo4j - Supplementary Resources10m
Adding to and Modifying a Graph - Supplementary Resources10m
Download datasets used in this Graph Analytics with Neo4j10m
Importing Data Into Neo4j - Supplementary Resources10m
FAQ10m
Basic Queries in Neo4j With Cypher - Supplementary Resources10m
Path Analytics in Neo4j With Cypher - Supplementary Resources10m
Connectivity Analytics in Neo4j with Cypher - Supplementary Resources10m
Assignment: Practicing Graph Analytics in Neo4j With Cypher10m
Download All Neo4j Supplementary Resources (PDFs)10m
2개 연습문제
Quiz: Graph Analytics With Neo4j18m
Assessment Questions on 'Practicing Graph Analytics in Neo4j With Cypher'18m
4.2
158개의 리뷰Chevron Right

45%

이 강좌를 수료한 후 새로운 경력 시작하기

29%

이 강좌를 통해 확실한 경력상 이점 얻기

Graph Analytics for Big Data의 최상위 리뷰

대학: 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.

대학: 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.

강사

Avatar

Amarnath Gupta

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

캘리포니아 샌디에고 대학교 정보

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....

빅 데이터 전문 분야 정보

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....
빅 데이터

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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