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Отзывы учащихся о курсе Graph Analytics for Big Data от партнера Калифорнийский университет в Сан-Диего

4.2
Оценки: 752
Рецензии: 151

О курсе

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....

Лучшие рецензии

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.

Фильтр по:

1–25 из 150 отзывов о курсе Graph Analytics for Big Data

By Manoj D

Dec 30, 2018

Lots of efforts wasted to struggle with setup.

By 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.

By 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).

By 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.

By Miguel T

Sep 29, 2018

Very interesting and well explained, but little practical.

By 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.

By Carlos V

Apr 30, 2019

It was very interesting and helpful. I would also love to know what are the current web-based approaches to graph analytics and visualisation. The course was very insightful but the week 5 is a bit dense on the number of tools that interact between themselves. I understand these complex platforms are more aimed to complex and dense scenarios such as those from Facebook and the like, and it could also be useful to learn small alternatives for smaller deployments. Very interesting though!

By 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

By Deleted A

Apr 02, 2019

excellent videos

By To P H

Feb 23, 2019

Fun course to learn

By gregorius a

Feb 21, 2019

Good!

By ANANT K

Feb 07, 2019

Can be improved further by including rigorous Hands-on exercises

By Оболенский И А

Jan 30, 2019

Excellent course for beginners in graph analytics.

By Kartik K

Dec 31, 2018

A lot of unanswered doubts. And a lot of improperly explained concepts and codes.

By David C

Dec 28, 2018

Thanks

By Adam G

Dec 21, 2018

Within the usual pedagogical standards, it is a very good course

By Sajal S R

Dec 16, 2018

Good Course

By Tejprakash U

Dec 10, 2018

course is well designed and structured.

By John C

Dec 09, 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 Gopi N

Dec 09, 2018

This course was intense, though instructor seemed to be in rush of finishing the course :). Final module in graphs was packed with lot of info.

By 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 ....

By Jose L R

Oct 13, 2018

Great course!! Please update the Hands on!

By Manikandan P

Oct 06, 2018

Very insightful course

By 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).

By 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.