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Graph Analytics for Big Data

Big Data,

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.
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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

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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.

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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.

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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.

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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.

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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.

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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

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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

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