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.

Lots of efforts wasted to struggle with setup.

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.

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.

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.

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).

Very interesting and well explained, but little practical.

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

I enjoyed a lot specially with the additional materials, giving insight to more in-depth concepts. I guess similar approach would help enrich the course if the course could also provide some basics of Scala so that we do not just copy and paste the commands. I am a programmer myself, but scripts like Scala have their own's very special culture that one has to adapt to it. It is not like Java or C++ which are easier to follow.

My name is Jose Antonio from Brazil. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11).

I did this course to complete my CV in Data Visualization, Big Data and Data Science.

The course was excellent and the classes well taught by teachers.

Thank you for the support, course quality and great classes.

Regards.

Jose Antonio.

Really enjoyed the Neo4j module. I would have liked to explore and have feedback for analysis that I am interested in exploring. It would be great to have direct contact with instructors. The last module was a lot of copying and pasting code that I feel will be extremely difficult to retain. Not sure what the purpose was.

Thanks to this program, I was able to obtain a job as a data scientist in a big data environment. I built a graphical database using neo4j, which no one else at my workplace had thought to do. I really appreciate the training I got through this specialization.

This course allowed me to understand graph theory, evaluate graph properties, analitics and routing algorithms. In addition it introduces to neo4j and graphx, that are valuable software platforms for analyzing graphs

The course arrangement was quite intuitive each week was a set forward building on the hands on exercises of previous works made it easier to better understand the codes and general workflows of the hands-on

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.

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 ....

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.

This is one of the toughest and most interesting course at it deals with big data in graph database. Highly recommend this course to those who wants to know graph database.

Great course!!! excellent information, instructions and examples (including some troubleshooting that helps us to learn things simulating everyday challenges).

Excellent information and quite condensed. Since it is not examined, its ok for it to be condensed, for future reference we know where to get the information.

So useful. As our company consider using this technique for modeling customer's behaviors, this course give me an overall introduction for graph analysis.

Some of the hands-on practices fail due to unknown issues but, after reading the blogs somebody finds solutions but nobody from courser or UC help or adv

Good Course to get introduced to Graph Analytics , Neo4j, Cypher Graph Query Language , GraphX through Spark. Really enjoyed hands-on exercises

Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.