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

4.3
звезд
Оценки: 1,168
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

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:

126–150 из 221 отзывов о курсе Graph Analytics for Big Data

автор: Álvaro G C

19 июня 2017 г.

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

автор: freddy a

7 мая 2017 г.

A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.

автор: Othmane B

20 февр. 2017 г.

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

автор: Aviad K

31 дек. 2019 г.

Skims the subject in some cases but overall very good, I enjoyed the Neo4J class it was very informative

автор: Chandrakanth B

7 дек. 2019 г.

In this phase i could able to know analytics how it is helping big data and it's graph analysis.

автор: paras m

31 дек. 2017 г.

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

автор: Nicolas I

10 мая 2017 г.

It started well, but it became a little hard when Java came in. Apart from that, it was great.

автор: Vilhelm v E

14 мар. 2020 г.

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

автор: Tony W U

22 мар. 2017 г.

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

автор: Gabriel T

9 февр. 2018 г.

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

автор: Petch C

21 апр. 2020 г.

hand on is quite hard and need a lot of installation such as cloudera.

автор: Kun Z

10 мая 2017 г.

Very good project! Hopefully it will be helpful in my future career!

автор: Efendi

22 мая 2017 г.

Suggest to remove the peer-grade assessment as it could be bias :)

автор: Anant K

7 февр. 2019 г.

Can be improved further by including rigorous Hands-on exercises

автор: Adam G

21 дек. 2018 г.

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

автор: Prospero-Martin R

31 авг. 2018 г.

I really enjoyed learning graph analytics, great course!

автор: Juan J R M

26 авг. 2017 г.

It's really long and we need more practical examples

автор: Mihai-Bogdan Z

2 сент. 2020 г.

Things made a bit too complicated sometimes.

автор: Marwa K E

6 окт. 2020 г.

Week 5 materials are not well prepared.

автор: Miguel A R S

5 дек. 2017 г.

This is a great introductory course.

автор: Rüdiger S

1 нояб. 2020 г.

Liked the hands-on neo4j part most.

автор: Amir A

9 февр. 2017 г.

Thanks so much

you are great people

автор: Fernando M

30 июня 2016 г.

interesting practices with neo4j

автор: Mehul P

30 дек. 2017 г.

Nice overview to get into it.

автор: Seth D

9 сент. 2016 г.

best course of the series