Except for the Neo4j week 4 and week 2, the other weeks were really confusing as it was hard to follow where the instructor is on a slide. Week 5 hands-on videos really were too fast and the instructor in video hands-on seems to be in a hurry. I also had hard time copy pasting the code snippets from the hands-on material.

I like the content at a high level, and I have a better appreciation for the value of graph analytics. That being said, I struggled with the GraphX hands on exersizes, where many of the Scala commands simply hung.

Really Thank you for all the big data course, just a little about the 5th course, Graph analytic, I think can must go to the deeper insight with more explanation, some of the modules was really vague!

Thank you

I bit hard to follow... too fast transitions. Not sure about the structure. Very interesting Hands-on on Node4j, but the one on GraphX could be much improved (too fast, and assuming we know Scala is wrong)

Only 3 stars because the course is in need of a serious update. Neo4J has changed quite a bit since the course was created. Also, there needs to be better instructions for getting the Cloudera VM to work.

Concepts are explained in a rather structured way and hands-on with Neo4j are interesting.

The last part with GraphX is pure copy-paste of orders, it is disappointing and not a good way to practive.

Lectures on graph analytics is awesome. However, the hands-on exercises need a serious update. In one of the many outdated examples, Neo4j Version 4 does not support EXTRACT().

This course was intense, though instructor seemed to be in rush of finishing the course :). Final module in graphs was packed with lot of info.

The last week was absolutely not fruitful at all, with no such introduction given to Scala. That took away all the sheen from the course.

Another good and interesting course but the total lack of engagement by the course team and community mentors makes it hard going.

Lower quality when compared to the previous courses in this specialization. Neo4j is very interesting but it is poorly explained.

This was ok till week 3. Week 4 was too much information and too many bugs in the code. Weeks 4 and 5 could be better presened

I encountered numerous issues with the hands on exercises. Either copy paste errors or the VM simply hanging.

The last two weeks was very hard to understand. This module could be a separated course.

A lot of unanswered doubts. And a lot of improperly explained concepts and codes.

The course is good, but I would prefer the examples to be coded in Python.

not much explanation about the syntax of the commands given in excercises

All the complexity of the course is concentrated to the last week.

It's necessary to update the documentations of the course

Need to include more student project design in the course

was not able to load the files in neo4j

Week 5 seemed irrelevant

My problem with this course is the same that with the Machine learning course: it is too basic, and the big data aspects were more a demo than a real course. I know about graph theory and networks in general much more than it was covered in this course, and I was disappointed that all the big-data context was limited to the handson sessions of week 5. I have to mention that the theoretical parts (first 3 weeks) were high quality and nice, just did not cover anything new for me.

On the contrary, the graphx handsons were drafty and really lacked explanations of the steps. I suggest to rename this course to something like "Introduction to graph and network analysis with a big-data demo" not to mislead users.

There were a number of software configuration settings for which we were not forewarned, some settings that I saw now way of changing in the community edition of Neo4j, and the queries in week 5 were not adequately explained. Furthermore, some of the earlier lectures appeared to be "modified from the original lecture, cut down to create required material and optional material. The lectures were cut in crude fashion, and the instructor would go from one slide to the next, sometimes starting in mid sentence. This subject can be interesting and useful information, but the content needs to be reworked so that we better understand the software use, and what we are trying to achieve.

My personal opinion but we seem to be just breezing through at a very fast pace the details associated with the applications. We are presenting but not really conveying anything meaningful given the pace that they are covered. Seems more of a distraction than value to the overall objective of the course. It would make more sense just to provide a slower placed recorded session on the tools .. and I do mean slower with explanation. Perhaps and optional course where there could be a deeper drill down into to the apps. It also seems that some of the course material is not up to date with the current versions of the apps as well.