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Graph Analytics for Big Data, 加州大学圣地亚哥分校

708 个评分
146 个审阅


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....


创建者 KM

Dec 17, 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.

创建者 JT

Oct 26, 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.


146 个审阅

创建者 gregorius airlangga

Feb 21, 2019


创建者 Dimitri Maiorano

Feb 10, 2019

Some parts explain very scarcely the strengths of concepts like power laws. A bunch of ideas surely important but shown in a very confused way.


Feb 07, 2019

Can be improved further by including rigorous Hands-on exercises

创建者 Оболенский Иван Александрович

Jan 30, 2019

Excellent course for beginners in graph analytics.

创建者 Kartik Kumar

Dec 31, 2018

A lot of unanswered doubts. And a lot of improperly explained concepts and codes.

创建者 Manoj Dhoke

Dec 30, 2018

Lots of efforts wasted to struggle with setup.

创建者 David Chang

Dec 28, 2018


创建者 Adam Garcia

Dec 21, 2018

Within the usual pedagogical standards, it is a very good course

创建者 Sajal Sinha Roy

Dec 16, 2018

Good Course

创建者 Tejprakash Uppu

Dec 10, 2018

course is well designed and structured.