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.
This course is part of the Big Data Specialization
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About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Graph Theory
- Neo4j
- Analytics
- Graph Database
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Syllabus - What you will learn from this course
Welcome to Graph Analytics
Introduction to Graphs
Graph Analytics
Graph Analytics Techniques
Reviews
- 5 stars55.53%
- 4 stars26.75%
- 3 stars11.31%
- 2 stars3.55%
- 1 star2.82%
TOP REVIEWS FROM GRAPH ANALYTICS FOR BIG DATA
The week 5 module was difficult to digest completely, it could be made better with better explanations of what is happening
The course content is pretty good but the instructions provided are not up to the mark nor are they updated hence I personally faced a lot of troubles during my time of completion
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.
Graphs are quite interesting and in many cases offer a better representation than relational databases.
One can gain lots of insights looking at graphs.
About the Big Data Specialization

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