Graph Analytics for Big Data
Get a Reminder
Rating | 3.7★ based on 173 ratings |
---|---|
Length | 6 weeks |
Effort | 4 Weeks, 3-5 hours/week |
Starts | Jun 26 (46 weeks ago) |
Cost | $79 |
From | University of California San Diego via Coursera |
Instructor | Amarnath Gupta |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science |
Tags | Data Science Data Analysis |
Get a Reminder
Similar Courses
What people are saying
graph analytics
This module introduced a lot of technical knowledge and theory around Graph Analytics.
Some items are interesting, but the lectures seem goal-less: not enough structure to help understand graph analytics.
It was perfect course 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.
Really enjoyed the Neo4j and GraphX Hands On Displaying handson queries graphically would make it more appealing as it was in Neo4j Good approach for introducing to graph analytics All the complexity of the course is concentrated to the last week.
I like the content at a high level, and I have a better appreciation for the value of graph analytics.
This course was excellent as an introduction to Graph Analytics and using Neo4j.
Good Course to get introduced to Graph Analytics , Neo4j, Cypher Graph Query Language , GraphX through Spark.
Graph Analytics should be its own 6 course specialization.
But really, to understand graph analytics one should be spending a great deal of time with the subject.
The material on graph analytics was of introductory level.
I would also love to know what are the current web-based approaches to graph analytics and visualisation.
Can be improved further by including rigorous Hands-on exercises Excellent course for beginners in graph analytics.
I really enjoyed learning graph analytics, great course!
This course gives a very in-depth view into the world of graphs and graph analytics.
Read more
big data
One sugestion is use more tools for graph analytics for Big Data in this course.
great course for those who want to learn graph analytics to use for the assessment of big data.
Got an amazing introduction to Graph Analytics in Big Data.
My problem with this course is the same that with the Machine learning course: it is too basic, and the big data aspects were more a demo than a real course.
not much explanation about the syntax of the commands given in excercises Great course to get familiar with graph data, graph big data, and query languages in graph data.
A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.
This is one of the toughest and most interesting course at it deals with big data in graph database.
Thanks to this program, I was able to obtain a job as a data scientist in a big data environment.
This topic is so important and relevant to big data.
Really Thank you for all the big data course, just a little about the 5th course, Graph analytic, I think can must go to the deeper insight with more explanation, some of the modules was really vague!Thank you Not so easy, but well worth it!
Probably because I'm new to all the big data and graph analytics terminologies but the lectures in this chapter were quite difficult to follow in my opinion.
It's not the fault of the professor but this course and the Big Data specialization attempts to cover too much information.
Understand this should be introduction to Big Data...
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.
Read more
very good
The teacher and explanations is very good.
very good Really enjoyed the Neo4j module.
very good Not bad Excellent content too condensed though for the period of time.
a course focused on enhance basic skills supported with very good tools.
the explanation and instructors are very good.
Very good project!
Very good material, very good Neo4j hands on for new comers.
Thanks Within the usual pedagogical standards, it is a very good course Good Course course is well designed and structured.
Skims the subject in some cases but overall very good, I enjoyed the Neo4J class it was very informative A lot of online resources have changed over the years like the way to download and work on Neo4j.
Read more
very interesting
Very interesting topic, but poor course.
g Very interesting course, it covered what i was expecting.
Neo4j is very interesting but it is poorly explained.
Very interesting class, large applications possibilities, unfortunately the hands on machine wont work properly The concepts are brilliantly taught but the technical part that was programming was rushed through and not explained step by step.
interesting practices with neo4j It was very interesting and helpful.
Very interesting though!
Very interesting and well explained, but little practical.
Very interesting So useful.
Read more
last week
The reason I did not give it five stars because I thought the last week of the course was not up to par with the first 4 weeks.
The last week was hard to follow with it's handson exercise.
Week 5 seemed irrelevant The last week was absolutely not fruitful at all, with no such introduction given to Scala.
Read more
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Customer Graph Digital Data Scientist $61k
Graph Database Developer $76k
Analytics/F&B Management $77k
Global Analytics $89k
Analytics Scientist $89k
Business Analytics & Advanced Analytics $90k
Client Analytics $91k
Analyst, Analytics $94k
Graph Database Engineer $103k
BI & Analytics $106k
Mobile Analytics $116k
Senior Analytics $198k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | 3.7★ based on 173 ratings |
---|---|
Length | 6 weeks |
Effort | 4 Weeks, 3-5 hours/week |
Starts | Jun 26 (46 weeks ago) |
Cost | $79 |
From | University of California San Diego via Coursera |
Instructor | Amarnath Gupta |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science |
Tags | Data Science Data Analysis |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course