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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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101 - 125 of 241 Reviews for Graph Analytics for Big Data

By Jhoseff M R

•

Jan 18, 2021

Good Work

By Phillip F

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Sep 7, 2020

Excelent!

By SASI V T

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Aug 13, 2020

excellent

By arnold j

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Aug 19, 2018

beautiful

By Anup K M

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Apr 22, 2018

very good

By Hamada I M

•

Aug 7, 2017

very good

By SURAJ P

•

Jun 18, 2020

nice one

By Marcos

•

May 26, 2018

Useful.

By Waterfq R

•

Dec 27, 2018

Thanks

By Hamora H

•

Aug 7, 2020

Good!

By Sridhar N

•

Aug 2, 2020

Great

By gregorius a

•

Feb 21, 2019

Good!

By RAGHUVEER S D

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Jul 24, 2020

good

By VISHNU T B

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Jul 12, 2020

Good

By AISHWARYA V S

•

Jun 2, 2020

Good

By Saravut R

•

May 16, 2020

nice

By Manish

•

Mar 31, 2020

good

By Prashant S

•

Jan 26, 2018

g

By Dennis N

•

Jul 5, 2017

This is a really good course as an introduction to Graph analytics as well as the types of analyses and techniques used in graph analytics. There were a lot of new concepts for me and it was a lot of information to take in but it was explained very well. The hands-on exercises in Graphx introduced a lot of unfamiliar code and seemed very technical but I believe that it is needed. This portion of the course might require more time to digest but I believe it was absolutely necessary. All in all, loved it!

By Carlos V

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Apr 30, 2019

It was very interesting and helpful. I would also love to know what are the current web-based approaches to graph analytics and visualisation. The course was very insightful but the week 5 is a bit dense on the number of tools that interact between themselves. I understand these complex platforms are more aimed to complex and dense scenarios such as those from Facebook and the like, and it could also be useful to learn small alternatives for smaller deployments. Very interesting though!

By CJ F

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Apr 28, 2022

This is the best of the UCSD Big Data specialisation - the theory is interesting, at the right level and the examples and tutorials are good. The use of Neo4j is fine, although the information in the classes are out of date. But the tutorials are genuinely interesting and informative. Such a shame the rest of the specialisation isn't at this level. I would recommend this, and only, this course from the specialisation.

By Vidal C

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Aug 20, 2018

I tried to finalize this exercises for weeks on end. I realized that my VM had two cores and whenever I tried to run the scala codes it got stock. This happened to me at least 10 times until I set my VM to have just one core, and it worked like a charm. I recommend to add a note to make sure the VM is set correctly because I was distracted trying to solve the issue.

By John G

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Feb 4, 2017

The neo4j parts were good, and nice introduction to graph terminology and concepts. would like to see detailed hands-on for wk#5 (like wk#4 had w/neo4j, which was very well done). like the tools survey and concepts. would like to see recommendations for other course(s), not necessarily in this series or by UC SanDiego, about where to go for deeper math.

By Clint E

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Aug 7, 2016

Great course. The reason I did not give it five stars because I thought the last week of the course was not up to par with the first 4 weeks. The lessons on Giraph and GraphX were confusing in my opinion and the hands on exercise did not really clear things up for me. Otherwise, a great course.

By Antony C

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Apr 5, 2018

This module introduced a lot of technical knowledge and theory around Graph Analytics. I understand there is great value in Graph analysis but I got a bit confused with so many examples, programming languages and many technical terms. I think Graph Analysis should be a specialisation on its own.