Hands-On: Basic Queries in Neo4j With Cypher - Part 1 - Graph Analytics for Big Data

Link to this course:
Hands-On: Basic Queries in Neo4j With Cypher - Part 1 - Graph Analytics for Big Data
Big Data Specialization
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.
Graph Theory, Neo4j, Analytics, Graph Database
I found a new love in this course Neo4j. Graphs are really powerful. You should expect a very intensive theoretical and hands-on knowledge to takeaway from this course. Think like a vertex ....,The Course was amazing. It was very much helpful in getting the insights and developed my skills in analyzing the data using Graphs. Thank You Coursera and UC, San Diego Team.
Welcome to the 4th module in the Graph Analytics course. Last week, we got a glimpse of a number of graph properties and why they are important. This week we will use those properties for analyzing graphs using a free and powerful graph analytics tool called Neo4j. We will demonstrate how to use Cypher, the query language of Neo4j, to perform a wide range of analyses on a variety of graph networks.
Hands-On: Basic Queries in Neo4j With Cypher - Part 1 - Graph Analytics for Big Data
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