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Learner Reviews & Feedback for Graph Analytics for Big Data by University of California San Diego

4.3
stars
1,256 ratings

About the Course

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data. After completing this course, you will be able to model a problem into a graph database and perform analytical tasks over the graph in a scalable manner. Better yet, you will be able to apply these techniques to understand the significance of your data sets for your own projects....

Top reviews

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.

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126 - 150 of 241 Reviews for Graph Analytics for Big Data

By Juan P

Sep 8, 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 Saleem K

Feb 17, 2017

The concepts are brilliantly taught but the technical part that was programming was rushed through and not explained step by step. This is probably out of scope for this course but would have been good to get a little more technical training

By MikeP

Sep 15, 2017

Good course overall for concepts of graph analytics.Too much time spent setting up and going through the hand-on exercises. What I feel is somewhat lacking are use cases for relating how this could be used in normal business.

By Joren Z

Aug 9, 2017

Seems to give a great high-level overview of graphs; I learned many terms and concepts about graph analysis. I also liked the hands-on-experience with neo4j---its SQL-like syntax makes it quite easy to pick up the basics.

By Jose M

Sep 6, 2020

I like this course a lot, but with the amount of theoretical and hands-on information included, I recommend that Graph Analytics be stretched over more than 5 weeks, or be broken down in 2 parts, each with 4-5 weeks.

By Tariq A

Dec 27, 2019

I have learned a lot from the course and this is the fifth of my specialization and I am absolutely sure that I can apply everything I have learned in the course to solve big data graph usability problems.

By Ricardo L C T

Jun 14, 2017

the content is difficult to understand. the explanation and instructors are very good. I think that the Graph content itself is complex. congratulations anyway. I think you guys made the possible best.

By Ashish K

Nov 23, 2020

Interesting course but Week 5 was exceptionally buggy. Is that on purpose to help us learn about small errors that can creep in OR has the course not been updated for quite some time?

By Kshitij D

May 23, 2020

The course content is pretty good but the instructions provided are not up to the mark nor are they updated hence I personally faced a lot of troubles during my time of completion

By Simon B C

Apr 3, 2020

Generally a good course. However, the last week was just a "look and follow" week. The only thing I take from this week is that things are possible with Spark, but that's it.

By Chakresh S

Nov 30, 2023

While the content of the course is highly relevant .. it seriously needs an upgrade and content revision since it is almost 10 years old in a rapidly changing environment

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 John C

Dec 9, 2018

Graphs are quite interesting and in many cases offer a better representation than relational databases.

One can gain lots of insights looking at graphs.

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 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 freddy a

May 7, 2017

A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.

By Othmane B

Feb 20, 2017

Very interesting class, large applications possibilities, unfortunately the hands on machine wont work properly

By Aviad K

Dec 31, 2019

Skims the subject in some cases but overall very good, I enjoyed the Neo4J class it was very informative

By Chandrakanth B

Dec 7, 2019

In this phase i could able to know analytics how it is helping big data and it's graph analysis.

By paras m

Dec 31, 2017

Great Course and Lot of learning.Best part was the detailed description and explanation of Neo4j

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 Vilhelm v E

Mar 14, 2020

Nice course! Really nice lectures but the labs could have been a little more challenging.

By Tony W U

Mar 22, 2017

Displaying handson queries graphically would make it more appealing as it was in Neo4j

By Gabriel T

Feb 9, 2018

Very sound course with lots of information to digest. Just enough for "lift-off".

By Petch C

Apr 21, 2020

hand on is quite hard and need a lot of installation such as cloudera.