Learning Outcomes in Data Analytics
Students will be able to articulate meaningful lines of inquiry that might be explored through the collection, organization, visualization, and analysis of data in a context associated with their primary field of study using (as appropriate) numerical, textual, spatial, and/or visual data.
Student will understand what data are, how they are collected, the role of metadata in understanding a given set of data, and how to assess the quality/reliability of data.
Student will have intermediate proficiency in the acquisition and organization of data.
Students will demonstrate intermediate proficiency in the visualization of data to communicate information and patterns that exist in the data.
Students will be able to use at beginning level of proficiency the tools of statistics and machine learning to ask questions of and explore patterns in data.
For a given exploration of data, students will be able to communicate both in writing and verbally the limitations of data, the methods of acquisition, the interpretation of visualized data, and the results of statistical analysis.
In the context of data analysis, students will be able to reflect on the ethics of the questions asked of data, the methods of acquiring the data, the mode of data analysis/visualization, and the rhetoric used in communicating findings with data.
College of Saint Benedict
Saint John’s University
Robert Hesse, Computer Science & Mathematics
CSB Main 252
Imad Rahal, Computer Science
CSB Main 262
Parker Wheatley, Economics
CSB Main 309