About this Course

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Learner Career Outcomes

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Shareable Certificate
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Course 5 of 6 in the
Flexible deadlines
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Approx. 13 hours to complete
English

Skills you will gain

Graph TheoryNeo4jAnalyticsGraph Database

Learner Career Outcomes

42%

started a new career after completing these courses

28%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 13 hours to complete
English

Offered by

Placeholder

University of California San Diego

Syllabus - What you will learn from this course

Content RatingThumbs Up89%(3,479 ratings)Info
Week
1

Week 1

4 minutes to complete

Welcome to Graph Analytics

4 minutes to complete
1 video (Total 4 min)
Week
2

Week 2

3 hours to complete

Introduction to Graphs

3 hours to complete
8 videos (Total 38 min), 2 readings, 2 quizzes
8 videos
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
2 readings
What to learn in this module10m
Download Slides for this Module10m
1 practice exercise
Introduction to Graphs30m
Week
3

Week 3

3 hours to complete

Graph Analytics

3 hours to complete
17 videos (Total 81 min), 3 readings, 2 quizzes
17 videos
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
3 readings
What to learn in this module10m
If this module takes a little longer... that's OK!10m
Download All Slides for Module 310m
2 practice exercises
Graph Analytics Applications30m
Connectivity, Community, and Centrality Analytics30m
Week
4

Week 4

4 hours to complete

Graph Analytics Techniques

4 hours to complete
10 videos (Total 78 min), 12 readings, 2 quizzes
10 videos
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
12 readings
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
2 practice exercises
Quiz: Graph Analytics With Neo4j30m
Assessment Questions on 'Practicing Graph Analytics in Neo4j With Cypher'30m

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