Data Science Literacy

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.

The Data Science Institute 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, the Data Science Institute 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.  The Data Science Institute is also connected with the UA Transdisciplinary Research in Principles of Data Science (TRIPODS) effort, focused on the theoretical foundations of Data Science.