This tutorial will identify a suite of tools for using network models in applied data analyses. Examples will be utilize metabolomics data from ongoing large-scale health research studies, although techniques are transferrable across multiple domains. This workshop will link network visualizations with statistical analyses of complex metabolomics data, and will emphasize detection of network subcomponents that link to health outcomes. Utility of these tools for ‘story telling’ in complex data settings will be illustrated.