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    Back to Graph Analytics for Big Data

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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.3
    stars
    1,272 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 17, 2017

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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 26, 2016

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    126 - 150 of 244 Reviews for Graph Analytics for Big Data

    Filled StarFilled StarFilled StarFilled StarStar

    By Antony C

    •

    Apr 5, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    By Mike P

    •

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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?

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Othmane B

    •

    Feb 20, 2017

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

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By paras m

    •

    Dec 31, 2017

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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Vilhelm v E

    •

    Mar 14, 2020

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Tony W U

    •

    Mar 22, 2017

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Gabriel T

    •

    Feb 9, 2018

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

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