Increasing Student Access to and Readiness for Statistical Competitions
AbstractStatistical competitions like ASA DataFest and the Women in Data Science (WiDS) Datathon give students valuable experience working with real, challenging data. By participating, students practice important statistics and data science skills including data wrangling, visualization, modeling,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-09-01
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| Series: | Journal of Statistics and Data Science Education |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/26939169.2023.2167750 |
| _version_ | 1797627487402852352 |
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| author | Nicole M. Dalzell Ciaran Evans |
| author_facet | Nicole M. Dalzell Ciaran Evans |
| author_sort | Nicole M. Dalzell |
| collection | DOAJ |
| description | AbstractStatistical competitions like ASA DataFest and the Women in Data Science (WiDS) Datathon give students valuable experience working with real, challenging data. By participating, students practice important statistics and data science skills including data wrangling, visualization, modeling, communication, and teamwork. However, while advanced students may have already acquired these skills over the course of their undergraduate program, students with less experience often need additional preparation to participate. In this article, we discuss strategies and targeted activities for helping lower-level students feel comfortable and prepared to compete in events like DataFest. We also share how we used these tools to create a low-stakes DataFest preparation course at our institution. Supplementary materials for this article are available online. |
| first_indexed | 2024-03-11T10:24:56Z |
| format | Article |
| id | doaj.art-b6f0c795c6d2480398f0e995930a140a |
| institution | Directory Open Access Journal |
| issn | 2693-9169 |
| language | English |
| last_indexed | 2024-03-11T10:24:56Z |
| publishDate | 2023-09-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Statistics and Data Science Education |
| spelling | doaj.art-b6f0c795c6d2480398f0e995930a140a2023-11-15T21:32:15ZengTaylor & Francis GroupJournal of Statistics and Data Science Education2693-91692023-09-0131325826310.1080/26939169.2023.2167750Increasing Student Access to and Readiness for Statistical CompetitionsNicole M. Dalzell0Ciaran Evans1Department of Statistical Sciences, Wake Forest University, Winston-Salem, NCDepartment of Statistical Sciences, Wake Forest University, Winston-Salem, NCAbstractStatistical competitions like ASA DataFest and the Women in Data Science (WiDS) Datathon give students valuable experience working with real, challenging data. By participating, students practice important statistics and data science skills including data wrangling, visualization, modeling, communication, and teamwork. However, while advanced students may have already acquired these skills over the course of their undergraduate program, students with less experience often need additional preparation to participate. In this article, we discuss strategies and targeted activities for helping lower-level students feel comfortable and prepared to compete in events like DataFest. We also share how we used these tools to create a low-stakes DataFest preparation course at our institution. Supplementary materials for this article are available online.https://www.tandfonline.com/doi/10.1080/26939169.2023.2167750CompetitionDataFestGroup workPractice |
| spellingShingle | Nicole M. Dalzell Ciaran Evans Increasing Student Access to and Readiness for Statistical Competitions Journal of Statistics and Data Science Education Competition DataFest Group work Practice |
| title | Increasing Student Access to and Readiness for Statistical Competitions |
| title_full | Increasing Student Access to and Readiness for Statistical Competitions |
| title_fullStr | Increasing Student Access to and Readiness for Statistical Competitions |
| title_full_unstemmed | Increasing Student Access to and Readiness for Statistical Competitions |
| title_short | Increasing Student Access to and Readiness for Statistical Competitions |
| title_sort | increasing student access to and readiness for statistical competitions |
| topic | Competition DataFest Group work Practice |
| url | https://www.tandfonline.com/doi/10.1080/26939169.2023.2167750 |
| work_keys_str_mv | AT nicolemdalzell increasingstudentaccesstoandreadinessforstatisticalcompetitions AT ciaranevans increasingstudentaccesstoandreadinessforstatisticalcompetitions |