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.
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.
by SURAJ P•
by David C•
by Hamora H•
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by Dennis N•
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•
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•
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 The use of Neo4j is fine, although the information in the classes are out of date.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•
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•
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•
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•
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.
by Juan P•
Maybe the best course of all the specialisation. Good balance between theory and hand-ons. I would give the fifth star with more details and explanations in some hand-ons (mainly the ones from the last lesson). In summary, a good introductory course to graph analysis.
by Saleem K•
The concepts are brilliantly taught but the technical part that was programming was rushed through and not explained step by step. This is probably out of scope for this course but would have been good to get a little more technical training
Good course overall for concepts of graph analytics.Too much time spent setting up and going through the hand-on exercises. What I feel is somewhat lacking are use cases for relating how this could be used in normal business.
by Joren Z•
Seems to give a great high-level overview of graphs; I learned many terms and concepts about graph analysis. I also liked the hands-on-experience with neo4j---its SQL-like syntax makes it quite easy to pick up the basics.
by Jose M•
I like this course a lot, but with the amount of theoretical and hands-on information included, I recommend that Graph Analytics be stretched over more than 5 weeks, or be broken down in 2 parts, each with 4-5 weeks.
by Tariq A•
I have learned a lot from the course and this is the fifth of my specialization and I am absolutely sure that I can apply everything I have learned in the course to solve big data graph usability problems.