ISDA 111 Information and Data Science


Conceptual foundations and theoretical underpinnings pertaining to the social, political, and economic factors associated with the information society. Definition of information and information science; constructing information individually and collectively; and emerging information and communications technologies. Concepts, techniques, and tools needed to accomplish various facets of data science practice, including data collection and integration, management, analysis, modeling, and visualization. Data science skills such as product creation, communication, evaluation, presentation, and storytelling.  Delivered 100% asynchronously online introducing tools such as: Git, Weka, RapidMiner, Amazon Web Services (AWS), Google Cloud Computing. (3 units)