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Issue 3.1, Winter 2021最新文献

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Statistical Practice Is Not a Spectator Sport 统计实践不是一项观赏性运动
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.FF65FD7A
J. Utts
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引用次数: 0
Project-Based Learning via Competition for Data Science Students 数据科学学生竞赛中基于项目的学习
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.44F54F00
P. Yu, W. Li
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引用次数: 1
The Data Science Corps Wrangle-Analyze-Visualize Program: Building Data Acumen for Undergraduate Students 数据科学队争论-分析-可视化项目:为本科生建立数据敏锐度
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.8233428D
N. Horton, Benjamin S. Baumer, A. Zieffler, Valerie Barr
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引用次数: 2
From Outlier to Normalcy: Community Partnering as a Pathway Toward Modularity, Sustainability and Diversity When Centering ‘Practice’ in Data Science Education 从离群值到常态:当以数据科学教育的“实践”为中心时，社区伙伴关系是通往模块化、可持续性和多样性的途径
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.80579436
D. Uminsky
{"title":"From Outlier to Normalcy: Community Partnering as a Pathway Toward Modularity, Sustainability and Diversity When Centering ‘Practice’ in Data Science Education","authors":"D. Uminsky","doi":"10.1162/99608F92.80579436","DOIUrl":"https://doi.org/10.1162/99608F92.80579436","url":null,"abstract":"Statistical (MSPP), a thorough their model high level of execution in centering practice in the MSSP As a former director (USF) MS in Data Science and current executive director charged with leading data science initiatives (UChicago), the me to on of significant challenges MSSP and unique in when centering practice in the These challenges, evolving the and measuring student impact, to project management and sustainable external partnerships, force a reflection on the difficulty of centering practice in a data science curriculum. The framework provided in the makes it a critical read for anyone considering a more practice centered approach to data","PeriodicalId":194618,"journal":{"name":"Issue 3.1, Winter 2021","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
How Can We Train Data Scientists When We Can’t Agree on Who They Are? 当我们无法就数据科学家的身份达成一致时，我们如何培训数据科学家?
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.0136867F
U. Fayyad, Hamit Hamutcu
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引用次数: 3
Kaleidoscopic Perspectives on Practicum-Based Data Science Education 基于实践的数据科学教育的万花筒视角
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.BA6336BC
Shuang L. Frost, A. Goeva, Javin Pombra, W. Seaton, S. Stoudt, A. Trisovic, Chris Wang, C. Zucker
{"title":"Kaleidoscopic Perspectives on Practicum-Based Data Science Education","authors":"Shuang L. Frost, A. Goeva, Javin Pombra, W. Seaton, S. Stoudt, A. Trisovic, Chris Wang, C. Zucker","doi":"10.1162/99608F92.BA6336BC","DOIUrl":"https://doi.org/10.1162/99608F92.BA6336BC","url":null,"abstract":"The acquisition of practical data science skills is at the forefront of our minds as Early Career Board members. We come from a variety of professional backgrounds and have learned practical skills in different ways, some of which were more effective than others. Through their description of Boston University’s M.S. in Statistical Practice (MSSP) program, Kolaczyk et al. (“Statistics Practicum: Placing ‘Practice’ at the Center of Data Science Education,” this issue) inspired us to consider our own experiences with practical learning and how well it worked for our individual career goals. The perspectives below summarize our discussions on the utility, attraction, and value of a practicum-based data science education. Moderated by Catherine Zucker and Will Seaton, each of us shared our experiences, debated the merits, and clarified our opinions through these conversations.","PeriodicalId":194618,"journal":{"name":"Issue 3.1, Winter 2021","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133576381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Taking Our Medicine: Standardizing Data Science Education With Practice at the Core 服用我们的药物:以实践为核心的标准化数据科学教育
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.64BBF5AF
Kit T. Rodolfa, R. Ghani
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引用次数: 1
The Capstone in Everyone’s Delivery Room: Placing ‘Practice’ at the Center of Data Science Education 每个人产房的顶点:将“实践”置于数据科学教育的中心
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.539432B5
A. Mira, E. Wit
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引用次数: 0
Is Data Science Education a Jack of all Trades? 数据科学教育是万事通吗?
Issue 3.1, Winter 2021 Pub Date : 2021-02-25 DOI: 10.1162/99608F92.D1AAF1D7
D. Hardoon
{"title":"Is Data Science Education a Jack of all Trades?","authors":"D. Hardoon","doi":"10.1162/99608F92.D1AAF1D7","DOIUrl":"https://doi.org/10.1162/99608F92.D1AAF1D7","url":null,"abstract":"","PeriodicalId":194618,"journal":{"name":"Issue 3.1, Winter 2021","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122914331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Understanding the Quality of the 2020 Census is Essential 了解2020年人口普查的质量至关重要
Issue 3.1, Winter 2021 Pub Date : 2021-02-22 DOI: 10.1162/99608F92.9CE979BE
John Thompson
{"title":"Understanding the Quality of the 2020 Census is Essential","authors":"John Thompson","doi":"10.1162/99608F92.9CE979BE","DOIUrl":"https://doi.org/10.1162/99608F92.9CE979BE","url":null,"abstract":"Column Editor's note: In this Effective Policy Learning article, John Thompson, former Director of the U.S. Census Bureau, explains that understanding and measuring the quality of the U.S. Census of Population and Housing, conducted every 10 years, is a complex undertaking. The 2020 Census has been particularly difficult due to the COVID-19 pandemic and unprecedented political interference into this scientific, statistical activity. He explores the reasoning behind the recommendations of the Census Quality Indicators Task Force of the American Statistical Association on both quality indicators and next steps for independently measuring the quality of the 2020 Census.","PeriodicalId":194618,"journal":{"name":"Issue 3.1, Winter 2021","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130552157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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