Neo4j Graph Data Science Fundamentals

Course Duration
1 hour
Categories
Data Scientist
Neo4j Graph Data Science Fundamentals | Data Scientist

Course Description

In this course, we cover the high level concepts that a Data Scientist needs to know to conduct analytics with the Neo4j Graph Data Science library (GDS). We cover the range of graph algorithms and machine learning operations available in GDS with examples of how to use them on real data.

The course automatically creates a new movie recommendations sandbox within Neo4j Sandbox that you will use throughout the course.

Prerequisites

This course is intended for analysts and data scientists who have basic knowledge of:

  • Data science fundamentals

  • Graph database fundamentals

This course provides code examples from the Neo4j Graph Data Science library (GDS). If you haven’t already done so, we recommend you take the Introduction to Neo4j Graph Data Science course to find out how these procedures work.

Duration

1 hour

What you will learn

  • Graph algorithm execution patterns

  • Different categories of graph algorithms and common use cases for each

  • How to run graph native machine learning pipelines in GDS

Get Support

If you find yourself stuck at any stage then our friendly community will be happy to help. You can reach out for help on the Neo4j Community Site, or head over to the Neo4j Discord server for real-time discussions.

Feedback

If you have any comments or feedback on this course you can email us on graphacademy@neo4j.com.

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