GenAI: Data Visualization and Graphs
  • Type Learning
  • Level Intermediate
  • Time Hours
  • Cost Free

GenAI: Data Visualization and Graphs

Issued by University of Texas at San Antonio

During this module, students will be exposed to the fundamental concepts of graph theory in a manner that demonstrates its relevance to public policy topics. Specifically, they will be exposed to the problem of interdependence in policymaking and be given basic tools to begin to quantify those relationships.

  • Type Learning
  • Level Intermediate
  • Time Hours
  • Cost Free

Skills

Earning Criteria

  • Learning Objectives: 1) Define both undirected and directed graphs 2) Document relationships in an adjacency matrix 3) Describe to the class an applied example of a graph structure (e.g trade relationships)
  • To earn your badge, you will need to complete the DS 1001 (Data Science for All) course modules. If you have questions or are interested in additional information, please email rebecca.schroeder@utsa.edu