GraphAcademy
Course

Get started with Graph Data Science

31 lessons across 4 modules
Data ScientistGDSIntermediateGraph Data Science
About this course

In this course, you will learn

  • Graph projections

  • Algorithm execution

  • Algorithm configuration

  • Relationship aggregation

  • Projection modeling

Course content

4 modules, 31 lessons.

  1. 3 lessons
    1. GDS orientation
    2. Understanding graph data science
    3. Set up your GDS environment
  2. 11 lessons
    1. Understand the GDS workflow
    2. Project a graph
    3. Projecting monopartite graphs
    4. Practice monopartite projections
    5. Challenge: Monopartite projection
    6. Projecting bipartite and multipartite graphs
    7. Practice bipartite projections
    8. Challenge: Multipartite projections
    9. List and drop graphs
    10. Challenge: Clean your catalog
    11. Module recap and what’s next
  3. 10 lessons
    1. Algorithms overview
    2. Understand the five execution modes
    3. Use GDS utility functions
    4. Understand GDS documentation
    5. Configure your algorithms
    6. Running algorithms
    7. Configuring projections for undirected relationships
    8. Configuring projections with unweighted relationships
    9. Challenge: Weighted graph projection and analysis
    10. Module recap and what’s next
  4. 7 lessons
    1. Understand relationship aggregation
    2. Practice relationship aggregation
    3. Challenge: Aggregated projection and analysis
    4. Projection modeling for algorithms
    5. Challenge: Projection modeling and analysis
    6. Module recap
    7. Course summary