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Вернуться к Graph Analytics for Big Data

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

Оценки: 1,168
Рецензии: 222

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

16 дек. 2017 г.

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.

25 окт. 2016 г.

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:

26–50 из 221 отзывов о курсе Graph Analytics for Big Data

автор: Roberto G C

5 окт. 2018 г.

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

автор: Sabawoon S

15 февр. 2018 г.

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.

автор: Fei T

12 сент. 2018 г.

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

автор: Nelson R

9 апр. 2019 г.

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

автор: Ankur K

19 окт. 2016 г.

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

автор: loveneet k

21 июля 2017 г.

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

автор: Frank G

10 февр. 2020 г.

This course gives a very in-depth view into the world of graphs and graph analytics. Both theoretically and hands-on. Thanks so much!

автор: Shivam T

13 авг. 2020 г.

The week 5 module was difficult to digest completely, it could be made better with better explanations of what is happening

автор: Matthew P

17 апр. 2020 г.

great introduction to networks and exposure to software tools that can be used to graph and analyze large scale graph data.

автор: Luis A R

18 июня 2019 г.

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

автор: A R

20 дек. 2019 г.

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

Cheers and Thanks

автор: Steve Z

16 февр. 2018 г.

I learned a lot about graph techniques and tools for application to big data problems. Thank you! - Steve

автор: Abhisek D

17 июня 2017 г.

Really good material. Examples were very helpful. The Cloudera VM and practice was the cherry on the cake

автор: Arsenie C C

21 янв. 2018 г.

Very interesting course, it covered what i was expecting. I recommend it. Thank you to the teachers.

автор: Jamal A

10 мая 2017 г.

Great course to get familiar with graph data, graph big data, and query languages in graph data.

автор: Raunak S

25 мая 2018 г.

great course for those who want to learn graph analytics to use for the assessment of big data.

автор: Rajesh G

13 апр. 2020 г.

Great content and explanation, well planned with Hands-on sessions, and assignments.

автор: Christoph R

27 февр. 2018 г.

Great Course Material and presentation plus nice and interesting hands-on examples!

автор: Suresh K P

16 дек. 2017 г.

Excellent course to understand the data and show the graphs to the end users

автор: Sanket C

11 окт. 2017 г.

Simple representation of ideas helped me to understand complicated concepts.

автор: Fernando M

24 июля 2017 г.

Excellent course, and the hands on were very challenging and illustrative.

автор: Ian M

28 мар. 2017 г.

Great hands on examples! Really enjoyed the Neo4j and GraphX Hands On

автор: Ing. J H B S

29 мар. 2018 г.

Extremely complex, and the material to understand was excellent!

автор: Juan C H

27 июля 2017 г.

Excellent content too condensed though for the period of time. I

автор: Gregory S

17 дек. 2017 г.

This course is very interesting and well done. Thank you.