Chevron Left
返回到 Graph Analytics for Big Data

學生對 加州大学圣地亚哥分校 提供的 Graph Analytics for Big Data 的評價和反饋

4.3
stars
888 個評分
167 條評論

課程概述

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....

熱門審閱

KM

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.

JT

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.

篩選依據:

1 - Graph Analytics for Big Data 的 25 個評論(共 166 個)

創建者 Manoj D

Dec 30, 2018

Lots of efforts wasted to struggle with setup.

創建者 Dimitri M

Feb 10, 2019

Some parts explain very scarcely the strengths of concepts like power laws. A bunch of ideas surely important but shown in a very confused way.

創建者 Vincent R

Jun 02, 2018

This is the more challenging course of the Specialization. The course is not as well built as the other ones. Week 1 does not include any lessons; week 5 is very fastidious and time consuming. The course should mention up front to run the Cloudera VM with one CPU only to avoid getting wrong metro vertex results and crash the system when using the filter method. The author may want to consider using Python instead of Scala as Python was used in all the previous courses of the specialization.

創建者 Leandro S

Mar 24, 2019

Nice introduction of multiple graph packages, however I missed some more applied cases, covering a real graph problem investigation (particularly how to associate Neo4j with GraphX).

創建者 Stefan K

Oct 30, 2018

The last week was hard to follow with it's handson exercise. There was a lot of code which wasn't explained very well. It would be better if it was explained in more detail what the code was doing.

創建者 Miguel T

Sep 29, 2018

Very interesting and well explained, but little practical.

創建者 Charles S

Jun 11, 2018

The staff is not attending this course, and has not kept the forum up to date with notes on changes to the Neo4j Syntax requirements. The commands as given in the lectures, in the supplemental materials, and in the forums by the staff do not work. A few students have tried to post updates to the forum, but these too are out date, and more recent requests for help go unanswered.

創建者 Seyed H M

Jun 03, 2017

I enjoyed a lot specially with the additional materials, giving insight to more in-depth concepts. I guess similar approach would help enrich the course if the course could also provide some basics of Scala so that we do not just copy and paste the commands. I am a programmer myself, but scripts like Scala have their own's very special culture that one has to adapt to it. It is not like Java or C++ which are easier to follow.

創建者 Jose A R N

Sep 23, 2018

My name is Jose Antonio from Brazil. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11).

I did this course to complete my CV in Data Visualization, Big Data and Data Science.

The course was excellent and the classes well taught by teachers.

Thank you for the support, course quality and great classes.

Regards.

Jose Antonio.

創建者 David d

Apr 06, 2018

Really enjoyed the Neo4j module. I would have liked to explore and have feedback for analysis that I am interested in exploring. It would be great to have direct contact with instructors. The last module was a lot of copying and pasting code that I feel will be extremely difficult to retain. Not sure what the purpose was.

創建者 Catherine D

May 04, 2017

Thanks to this program, I was able to obtain a job as a data scientist in a big data environment. I built a graphical database using neo4j, which no one else at my workplace had thought to do. I really appreciate the training I got through this specialization.

創建者 Paolo M

Oct 09, 2016

This course allowed me to understand graph theory, evaluate graph properties, analitics and routing algorithms. In addition it introduces to neo4j and graphx, that are valuable software platforms for analyzing graphs

創建者 Kevin M

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.

創建者 John F T

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.

創建者 Jamiil T A

Oct 28, 2018

I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....

創建者 Akshay V

Jul 17, 2017

The Course was amazing. It was very much helpful in getting the insights and developed my skills in analyzing the data using Graphs. Thank You Coursera and UC, San Diego Team.

創建者 ZIKIF H L

May 05, 2017

This is one of the toughest and most interesting course at it deals with big data in graph database. Highly recommend this course to those who wants to know graph database.

創建者 Roberto G C

Oct 05, 2018

Great course!!! excellent information, instructions and examples (including some troubleshooting that helps us to learn things simulating everyday challenges).

創建者 Sabawoon S

Feb 15, 2018

Excellent information and quite condensed. Since it is not examined, its ok for it to be condensed, for future reference we know where to get the information.

創建者 Fei T

Sep 12, 2018

So useful. As our company consider using this technique for modeling customer's behaviors, this course give me an overall introduction for graph analysis.

創建者 Nelson R

Apr 09, 2019

Some of the hands-on practices fail due to unknown issues but, after reading the blogs somebody finds solutions but nobody from courser or UC help or adv

創建者 Ankur K

Oct 19, 2016

Good Course to get introduced to Graph Analytics , Neo4j, Cypher Graph Query Language , GraphX through Spark. Really enjoyed hands-on exercises

創建者 loveneet k

Jul 21, 2017

Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.

創建者 Luis A R

Jun 18, 2019

Graphical analyses are more pleasing to understand trends and their reperessation. Excellent Neo4j and GraphX tools

創建者 Ahmed R

Dec 20, 2019

I think that there is no doubt that Coursera is investing the best in to become the best.

Cheers and Thanks