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20122023
most citedCurriculum Guidelines for Undergraduate Programs in Data Science

251 citations · 658 across the 15 of their papers we have counts for

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9 papers · 1 filter

stat.OT2022★ 3 cited

Data science transfer pathways from associate's to bachelor's programs

Benjamin S. Baumer, Nicholas J. Horton

A substantial fraction of students who complete their college education at a public university in the United States begin their journey at one of the 935 public two-year colleges.…

stat.OT2021★ 15 cited

An educator's perspective of the tidyverse

Mine Çetinkaya-Rundel, Johanna Hardin, Benjamin S. Baumer +3

Computing makes up a large and growing component of data science and statistics courses. Many of those courses, especially when taught by faculty who are statisticians by training,…

stat.OT2021★ 7 cited

Facilitating team-based data science: lessons learned from the DSC-WAV project

Chelsey Legacy, Andrew Zieffler, Benjamin S. Baumer +2

While coursework provides undergraduate data science students with some relevant analytic skills, many are not given the rich experiences with data and computing they need to be su…

stat.OT2020★ 1 cited

Integrating data science ethics into an undergraduate major: A case study

Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim +2

We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet…

stat.OT2018★ 251 cited

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…

stat.OT2017★ 5 cited

Greater data science at baccalaureate institutions

Amelia McNamara, Nicholas J. Horton, Benjamin S. Baumer

Donoho's JCGS (in press) paper is a spirited call to action for statisticians, who he points out are losing ground in the field of data science by refusing to accept that data scie…

stat.OT2015★ 1 cited

A Data Science Course for Undergraduates: Thinking with Data

Ben Baumer

Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the pu…

stat.OT2014★ 211 cited

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…

stat.OT2014★ 141 cited

R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

Ben Baumer, Mine Cetinkaya-Rundel, Andrew Bray +2

Nolan and Temple Lang argue that "the ability to express statistical computations is an essential skill." A key related capacity is the ability to conduct and present data analysis…