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   What’s Needed in a Second Statistics Class to Prepare Undergraduates for a Data Analytics Environment? Session Co-Chairs: Robert L. Andrews, Virginia.

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Presentation on theme: "   What’s Needed in a Second Statistics Class to Prepare Undergraduates for a Data Analytics Environment? Session Co-Chairs: Robert L. Andrews, Virginia."— Presentation transcript:

1    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, Keith Ord, Georgetown University, Presenters: Bill Miller, Georgia College, Weiyong Zhang, Old Dominion University, Linda Boardman Liu, Boston College, Barry A Wray, UNC-Wilmington, Stephen Hill, UNC-Wilmington,

2 Key Findings from the National Academy of Sciences Committee Report on Data Science

3 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.


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