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.
JA
I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....
SC
Generally a good course. However, the last week was just a "look and follow" week. The only thing I take from this week is that things are possible with Spark, but that's it.
CS
While the content of the course is highly relevant .. it seriously needs an upgrade and content revision since it is almost 10 years old in a rapidly changing environment
KD
The course content is pretty good but the instructions provided are not up to the mark nor are they updated hence I personally faced a lot of troubles during my time of completion
SB
very large and to some extent too informative in nature. requires full time classes to understand these concepts specially last parts.
JT
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.
KT
Overall quality of the course was great. But it can be improved. I rated 5 but some topics are hard to follow sometimes.
ST
The week 5 module was difficult to digest completely, it could be made better with better explanations of what is happening
AV
The Course was amazing. It was very much helpful in getting the insights and developed my skills in analyzing the data using Graphs. Thank You Coursera and UC, San Diego Team.
FA
A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.
JC
Graphs are quite interesting and in many cases offer a better representation than relational databases.One can gain lots of insights looking at graphs.
AK
Interesting course but Week 5 was exceptionally buggy. Is that on purpose to help us learn about small errors that can creep in OR has the course not been updated for quite some time?
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Lots of efforts wasted to struggle with setup.
The staff is not attending this course, and has not kept the forum up to date with notes on changes to the Neo4j Syntax requirements. The commands as given in the lectures, in the supplemental materials, and in the forums by the staff do not work. A few students have tried to post updates to the forum, but these too are out date, and more recent requests for help go unanswered.
The last week was hard to follow with it's handson exercise. There was a lot of code which wasn't explained very well. It would be better if it was explained in more detail what the code was doing.
The course is not maintained well. Specifically, the hands-on exercise NEO4J could be much better. The Cloudera VM has many issues. I checked out the forum and observed many questions like mine hanging there for a couple of months. But they have not been answered yet.
The Course was amazing. It was very much helpful in getting the insights and developed my skills in analyzing the data using Graphs. Thank You Coursera and UC, San Diego Team.
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.
Very interesting and well explained, but little practical.
software not working based on the instruction. Can't connect to server and there is no help in the forum
Terrible. Did not understand most of the course. Badly explained. Manuals to software were not working. Shame, because it is a nice subject.
Can't do the homework because the instructions don't work.
I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....
I had the pleasure of being introduced to graph analytics, Neo4j and GraphX through Spark by this course. Some of the most interesting content was why graphs, social media graphs, human information networks, visualizing graphs, how the volume impact the graphs, walks in the graphs, Dijkstra’s algorithm, robustness and concequences of disconnecting a connected graph or communities. I think there are some challenges running the scripts with Neo4j. It was not always easy to answer the questions with some typos but instead you had to think what the instructor want to achieve to get it through. Before, I signed up for this course, I had heard about the San Diego Supercomputer Center (SDSC) from my earlier studies here in Sweden, within a positive manner, and now I took the opportunity to study online through Coursera. I am grateful for that, the structure of the course content, new concepts and the explanations from Mr Amarnath Gupta (week 1-3, 5), Mr Jeff Sale (week 4) and Ms Christine Kirkpatrick (week 5). I give my highest recommendation to others to take this course and sending five big yellow stars.
Sincerely
Alexander – Sweden
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.
This is the more challenging course of the Specialization. The course is not as well built as the other ones. Week 1 does not include any lessons; week 5 is very fastidious and time consuming. The course should mention up front to run the Cloudera VM with one CPU only to avoid getting wrong metro vertex results and crash the system when using the filter method. The author may want to consider using Python instead of Scala as Python was used in all the previous courses of the specialization.
This was the most interesting course in all specialization until now and the only one which I could use the Cloudera VM succesfully. I could learn a little bit of Neo4j but the content about Spark GraphX is very bad.
Nice introduction of multiple graph packages, however I missed some more applied cases, covering a real graph problem investigation (particularly how to associate Neo4j with GraphX).
The course was good. However, I would request the Coursera team to provide a solution for the virtual machine as Cloudera has stopped giving any updates starting 2021. This is causing a lot of difficulty with hands-on exercises.
Week 5 needs to be refactored so that it works again
Content is good but there is a peer review assignment that is a requirement in order to get a certificate and not many students are taking course so it is hard to get certificate.
This course was a bit boring. I think it could have been much more interesting