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 Anthony W U•
Displaying handson queries graphically would make it more appealing as it was in Neo4j
By Gabriel T•
Very sound course with lots of information to digest. Just enough for "lift-off".
By Petch C•
hand on is quite hard and need a lot of installation such as cloudera.
By Kun Z•
Very good project! Hopefully it will be helpful in my future career!
Suggest to remove the peer-grade assessment as it could be bias :)
By Anant K•
Can be improved further by including rigorous Hands-on exercises
By Adam G•
Within the usual pedagogical standards, it is a very good course
By Prospero-Martin R•
I really enjoyed learning graph analytics, great course!
By Juan J R M•
It's really long and we need more practical examples
By Mihai-Bogdan Z•
Things made a bit too complicated sometimes.
By Marwa K E•
Week 5 materials are not well prepared.
By Miguel A R S•
This is a great introductory course.
By Rüdiger S•
Liked the hands-on neo4j part most.
By Amir A•
Thanks so much
you are great people
By Fernando M•
interesting practices with neo4j
By Mehul P•
Nice overview to get into it.
By Seth D•
best course of the series
By Congcong Z•
By Liliana d C C M•
By Qian H•
By Bahaa E A E•
By Rohit K S•
By AGARAOLI A•
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 The GraphX on Cloudera virtual machine was almost impossible to replicate as well due to the material being so outdated.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 Stephane T•
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.