Good Work

Excelent!

excellent

beautiful

very good

very good

nice one

Useful.

Thanks

Good!

Great

Good!

good

Good

Good

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good

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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!

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!

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 The use of Neo4j is fine, although the information in the classes are out of date.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.

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.

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.

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.

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.