What’s Needed in a Second Statistics Class to Prepare Undergraduates for a Data Analytics Environment? Session Co-Chairs: Robert L. Andrews, Virginia Commonwealth University, randrews@vcu.edu Keith Ord, Georgetown University, Keith.Ord@georgetown.edu Presenters: Bill Miller, Georgia College, william.miller@gcsu.edu Weiyong Zhang, Old Dominion University, wyzhang@odu.edu Linda Boardman Liu, Boston College, linda.b.liu@bc.edu Barry A Wray, UNC-Wilmington, wrayb@uncw.edu Stephen Hill, UNC-Wilmington, hills@uncw.edu
Key Findings from the National Academy of Sciences Committee Report on Data Science
Key Findings from the National Academy of Sciences Committee Report on Data Science Finding 2.2: It is important for data science education to incorporate real data, broad impact applications, and commonly deployed methods. Finding 2.3: Incorporating ethics into an undergraduate data science program provides students with valuable skills that can be applied to complex, human-centered questions across disciplines. Finding 2.4: Strong oral and written communication skills and the ability to work well in multi-disciplinary teams are critical to students’ success in data science.