251 citations · 486 across the 6 of their papers we have counts for
6 papers
Curriculum Guidelines for Undergraduate Programs in Data Science
Richard De Veaux, Mahesh Agarwal, Maia Averett +22
The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group cons…
Explorations in Statistics Research: An Approach to Expose Undergraduates to Authentic Data Analysis
Deborah Nolan, Duncan Temple Lang
The Explorations in Statistics Research workshop is a one-week NSF-funded summer program that introduces undergraduate students to current research problems in applied statistics.…
Teaching and Learning Data Visualization: Ideas and Assignments
Deborah Nolan, Jamis Perrett
This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments t…
Data Science in Statistics Curricula: Preparing Students to "Think with Data"
Johanna Hardin, Roger Hoerl, Nicholas J. Horton +1
A growing number of students are completing undergraduate degrees in statistics and entering the workforce as data analysts. In these positions, they are expected to understand how…
Make Research Data Public? -- Not Always so Simple: A Dialogue for Statisticians and Science Editors
Nell Sedransk, Lawrence H. Cox, Deborah Nolan +10
Putting data into the public domain is not the same thing as making those data accessible for intelligent analysis. A distinguished group of editors and experts who were already en…
Probability and Statistics: Essays in Honor of David A. Freedman
Deborah Nolan, Terry Speed
This volume is our tribute to David A. Freedman, whom we regard as one of the great statisticians of our time. He received his B.Sc. degree from McGill University and his Ph.D. fro…