Dec 17, 2017
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.
Oct 26, 2016
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 Antony C•
Apr 05, 2018
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 Seth D•
Sep 09, 2016
best course of the series
By Nicolas I•
May 10, 2017
It started well, but it became a little hard when Java came in. Apart from that, it was great.
By Gabriel T•
Feb 09, 2018
Very sound course with lots of information to digest. Just enough for "lift-off".
By AGARAOLI A•
Feb 10, 2017
By freddy a•
May 07, 2017
A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.
By Álvaro G C•
Jun 19, 2017
a course focused on enhance basic skills supported with very good tools. If you want to learn, this course will be as good as you work
By Federico A G C•
Nov 11, 2016
Very good material, very good Neo4j hands on for new comers. The critique goes to the coverage of GraphX hands on which, at least to me, is not explained clear enough
By Juan P•
Sep 08, 2016
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 Carlos V•
Apr 30, 2019
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 Shubhradeep B•
Sep 22, 2019
very large and to some extent too informative in nature. requires full time classes to understand these concepts specially last parts.
By Kartik K•
Dec 31, 2018
A lot of unanswered doubts. And a lot of improperly explained concepts and codes.
By Gopi N•
Dec 09, 2018
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.
By Harlan M•
Mar 02, 2017
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.
Jul 09, 2018
The course theory was illustrated and demonstrated very well. Examples were shown and the lectures were short but concise. I appreciated this greatly. The professor also spoke very slowly and deliberately, so the viewers could understand and have time to let the information sink in. In contrast, although the guest lecturer for Neo4j was great, the material was not up-to-date and caused several issues in completing the assignment. Other students were able to lead the class in the right direction in order to even start the assignment. The GraphX on Cloudera virtual machine was almost impossible to replicate as well due to the material being so outdated. Week 5 of the course peaked my interest but lacked the resources to completely follow the instructions and understand the material that was being presented.
By Ashish J•
Sep 06, 2017
was not able to load the files in neo4j
By Devi V V•
May 17, 2017
not much explanation about the syntax of the commands given in excercises
By Petr P•
Mar 17, 2017
All the complexity of the course is concentrated to the last week.
By David A•
Jun 27, 2018
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.
By anthony b•
Oct 05, 2016
Need to include more student project design in the course
By Martin L•
Dec 26, 2017
I encountered numerous issues with the hands on exercises. Either copy paste errors or the VM simply hanging.
By Hadi B•
Jan 28, 2017
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!
By Rodrigo V d S•
Nov 18, 2017
The last two weeks was very hard to understand. This module could be a separated course.
By Marcel V N•
Jan 16, 2017
Probably because I'm new to all the big data and graph analytics terminologies but the lectures in this chapter were quite difficult to follow in my opinion. The instructor was just talking, not teaching nor explaining, just like someone who prepares notes and is reading to students. The hand-ons were a bit helpful, but overall this class is more for those who already know about the subject.
By Stephane T•
Mar 07, 2017
I would have liked to put 5 stars. This topic is so important and relevant to big data. After week 4 hands on part, it became obvious we will not see how to implement or interpret the more abstract graph concepts presented in week 3. That was very disappointing.
Moreover, the structure of the course is not as good as the other module. I don't understand the lack of balance between theory and hands on (Not enough hands on to reflect the theory) part.
On a constructive note, I would replace some of the theoretical concepts of week 3 with additional information on how to link a graph database to machine learning OR I would add more hands on exercise to help using those more complex concepts and learn how to interpret them.