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Graph Analytics for 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.

Created by University of California San Diego


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What you’ll learn


In this learning opportunity you may gain confidence with the skills required from companies these days. The most in demand technique within the learning opportunity that is frequently included by organizations is Data Analysis. The most in demand tool is Neo4j. You will also learn about Programming Skills, a trait commonly included in job descriptions.

Who will benefit?


Evaluating the description from this learning resource with nearly 10,000 data-related job maps, we discover that those interested in Data Scientist roles would benefit the most.