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

4.3
звезд
Оценки: 1,117
Рецензии: 213

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
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.

JT
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:

76–100 из 212 отзывов о курсе Graph Analytics for Big Data

автор: David B

16 сент. 2018 г.

Very interesting

автор: MD A R A

27 авг. 2020 г.

Excellent !!!

автор: Diego M

4 апр. 2017 г.

Greate Course

автор: Pijush K G

16 июня 2018 г.

Good course.

автор: Sajal S R

16 дек. 2018 г.

Good Course

автор: Srinivas B

26 сент. 2016 г.

Excellent.

автор: Phillip

7 сент. 2020 г.

Excelent!

автор: SASI V T

13 авг. 2020 г.

excellent

автор: Arnold J

19 авг. 2018 г.

beautiful

автор: Anup K M

22 апр. 2018 г.

very good

автор: Hamada I M

7 авг. 2017 г.

very good

автор: Suraj P

18 июня 2020 г.

nice one

автор: Marcos

26 мая 2018 г.

Useful.

автор: David C

27 дек. 2018 г.

Thanks

автор: Hamora H

7 авг. 2020 г.

Good!

автор: Sridhar N

2 авг. 2020 г.

Great

автор: gregorius a

21 февр. 2019 г.

Good!

автор: RAGHUVEER S D

24 июля 2020 г.

good

автор: VISHNU T B

12 июля 2020 г.

Good

автор: AISHWARYA V

2 июня 2020 г.

Good

автор: Saravut R

16 мая 2020 г.

nice

автор: Manish

31 мар. 2020 г.

good

автор: Prashant S

26 янв. 2018 г.

g

автор: Dennis N

5 июля 2017 г.

This is a really good course as an introduction to Graph analytics as well as the types of analyses and techniques used in graph analytics. There were a lot of new concepts for me and it was a lot of information to take in but it was explained very well. The hands-on exercises in Graphx introduced a lot of unfamiliar code and seemed very technical but I believe that it is needed. This portion of the course might require more time to digest but I believe it was absolutely necessary. All in all, loved it!

автор: Carlos V

30 апр. 2019 г.

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!