Data Science Literacy
Data Science is an interdisciplinary endeavor, merging techniques from computer science, statistics, and math with domain-level concepts to increase discovery through data analytics and visualization. However, taking advantage of advanced computational resources and the "big data revolution" requires a set of specialized skills and core competencies.
Data7 works closely with the broader campus community to support a variety of learning activities. Examples include Data and Software Carpentry training, vendor-provided training (Cloud, Machine Learning, GPU etc.) in collaboration with UITS, and organizing special topic workshops (Containers, Workflow Managers). To foster Data Science Literacy, Data7 partners with the Data Science Resources & Training (DSRT) group, developers of the Data Science Information Portal (DSIP), an online hub enumerating computational resources, expertise, and training events, and providing easy-to-use tools for UA researchers to find resources of interest. Data7 is also connected with the UA Transdisciplinary Research in Principles of Data Science (TRIPODS) effort, focused on the theoretical foundations of Data Science.
Data7 postdocs and technical staff in collaboration with DSRT and interested UA departments organize seminars and symposiums on Data Science-related topics.