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Learner Reviews & Feedback for Graph Analytics for Big Data by University of California San Diego

4.3
stars
1,256 ratings

About the Course

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....

Top reviews

KM

Dec 16, 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.

JT

Oct 25, 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.

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151 - 175 of 241 Reviews for Graph Analytics for Big Data

By Kun Z

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May 10, 2017

Very good project! Hopefully it will be helpful in my future career!

By Efendi

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May 22, 2017

Suggest to remove the peer-grade assessment as it could be bias :)

By Anant K

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Feb 7, 2019

Can be improved further by including rigorous Hands-on exercises

By Adam G

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Dec 21, 2018

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

By Deleted A

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Dec 12, 2021

The each video structure of narrative are quite confusing

By Prospero-Martin R

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Aug 31, 2018

I really enjoyed learning graph analytics, great course!

By Juan J R M

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Aug 26, 2017

It's really long and we need more practical examples

By Mihai Z

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Sep 2, 2020

Things made a bit too complicated sometimes.

By Marwa K E

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Oct 6, 2020

Week 5 materials are not well prepared.

By Miguel A R S

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Dec 5, 2017

This is a great introductory course.

By Rüdiger S

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Nov 1, 2020

Liked the hands-on neo4j part most.

By Amir A

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Feb 9, 2017

Thanks so much

you are great people

By Fernando M

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Jun 30, 2016

interesting practices with neo4j

By O V R

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Feb 5, 2023

it was good learning expirience

By Rudransh P

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Nov 24, 2021

Hands-on exercises help a lot!

By Mehul P

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Dec 30, 2017

Nice overview to get into it.

By Seth D

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Sep 9, 2016

best course of the series

By Nicolas G

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Dec 31, 2021

more practicing

By Congcong Z

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Dec 5, 2017

well explained

By Liliana d C C M

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Nov 11, 2019

buen curso

By Qian H

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Jul 31, 2017

Not bad

By Bahaa E A E

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Jun 27, 2018

Thanks

By Rohit K S

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Oct 13, 2020

Good!

By Agaraoli A

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Feb 10, 2017

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By Ben

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Mar 30, 2021

It's not fantastic. It's a concise introduction to computational graph concepts, with a lot of time spent discussing the implementation of specific algorithms for implementing graph search considering hardware. There is little in the way of applying the algorithms using modern popular graph software.

The final week has some simple walk throughs using some data, but this seems quite old and there is no provision available to be able to attempt it yourself. I did not get much of an impression of a coherent plan for the course either besides introduce some concepts, but it is a relatively small time commitment for an initial introduction. All of the time spent looking at scala code or how to write a graph search algorithm from scratch and designing a data structure might be your bag, but it is not what I would look for in a modern graph data science course. Better graph network courses exist - neo4j is quite mature now and has extensive resources. Saying that, they do introduce the key concepts and some graph analytical ideas to help the user begin to think more graphically.