A Graph-Based Approach for Searching and Visualizing of Resources and Concepts in Data Science

The paper presents a resource search and visualization approach for learning data science fundamentals. We implement a web prototype that uses a knowledge graph built from the topics of the domain and a metadata repository of resources related to these topics. The application allows the graphical and interactive visualization of the graph and its semantic relationships, as well as the exploration, search, and visualization of concepts and resources. The results of the preliminary validation show its potential to improve the understanding of data science topics and promote free access to educational resources such as datasets, notebooks, and multimedia material.