KM
Dec 16, 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.
JT
Oct 25, 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 Kun Z
•May 10, 2017
Very good project! Hopefully it will be helpful in my future career!
By Efendi
•May 22, 2017
Suggest to remove the peer-grade assessment as it could be bias :)
By Anant K
•Feb 7, 2019
Can be improved further by including rigorous Hands-on exercises
By Adam G
•Dec 21, 2018
Within the usual pedagogical standards, it is a very good course
By Deleted A
•Dec 12, 2021
The each video structure of narrative are quite confusing
By Prospero-Martin R
•Aug 31, 2018
I really enjoyed learning graph analytics, great course!
By Juan J R M
•Aug 26, 2017
It's really long and we need more practical examples
By Mihai Z
•Sep 2, 2020
Things made a bit too complicated sometimes.
By Marwa K E
•Oct 6, 2020
Week 5 materials are not well prepared.
By Miguel A R S
•Dec 5, 2017
This is a great introductory course.
By Rüdiger S
•Nov 1, 2020
Liked the hands-on neo4j part most.
By Amir A
•Feb 9, 2017
Thanks so much
you are great people
By Fernando M
•Jun 30, 2016
interesting practices with neo4j
By O V R
•Feb 5, 2023
it was good learning expirience
By Rudransh P
•Nov 24, 2021
Hands-on exercises help a lot!
By Mehul P
•Dec 30, 2017
Nice overview to get into it.
By Seth D
•Sep 9, 2016
best course of the series
By Nicolas G
•Dec 31, 2021
more practicing
By Congcong Z
•Dec 5, 2017
well explained
By Liliana d C C M
•Nov 11, 2019
buen curso
By Qian H
•Jul 31, 2017
Not bad
By Bahaa E A E
•Jun 27, 2018
Thanks
By Rohit K S
•Oct 13, 2020
Good!
By Agaraoli A
•Feb 10, 2017
-
By Ben
•Mar 30, 2021
It's not fantastic. It's a concise introduction to computational graph concepts, with a lot of time spent discussing the implementation of specific algorithms for implementing graph search considering hardware. There is little in the way of applying the algorithms using modern popular graph software.
The final week has some simple walk throughs using some data, but this seems quite old and there is no provision available to be able to attempt it yourself. I did not get much of an impression of a coherent plan for the course either besides introduce some concepts, but it is a relatively small time commitment for an initial introduction. All of the time spent looking at scala code or how to write a graph search algorithm from scratch and designing a data structure might be your bag, but it is not what I would look for in a modern graph data science course. Better graph network courses exist - neo4j is quite mature now and has extensive resources. Saying that, they do introduce the key concepts and some graph analytical ideas to help the user begin to think more graphically.