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Yan, Donghui; Davis, Gary E. – Journal of Statistics Education, 2019
"Data science" is a discipline that provides principles, methodology, and guidelines for the analysis of data for tools, values, or insights. Driven by a huge workforce demand, many academic institutions have started to offer degrees in data science, with many at the graduate, and a few at the undergraduate level. Curricula may differ at…
Descriptors: Introductory Courses, Statistics, Data Analysis, Undergraduate Study
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Ella Hartenian; Nicholas J. Horton – Journal of Statistics Education, 2015
The Rail Trail and Property Values dataset includes information on a set of n = 104 homes which sold in Northampton, Massachusetts in 2007. The dataset provides house information (square footage, acreage, number of bedrooms, etc.), price estimates (from Zillow.com) at four time points, location, distance from a rail trail in the community, biking…
Descriptors: Statistics, Physical Activities, Parks, Real Estate
Baughman, M. Sue, Ed. – Association of Research Libraries, 2016
"Research Library Issues" ("RLI") focuses on current and emerging topics that are strategically important to research libraries. The articles explore issues, share information, pose critical questions, and provide examples. This issue includes the following articles: (1) Business Intelligence and Data Visualization with Tableau…
Descriptors: Research Libraries, Business Skills, Data Analysis, Visualization
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Frydenberg, Mark – Information Systems Education Journal, 2015
From their presence on social media sites to in-house application data files, the amount of data that companies, governments, individuals, and sensors generate is overwhelming. The growth of Big Data in both consumer and enterprise activities has caused educators to consider options for including Big Data in the Information Systems curriculum.…
Descriptors: Data Analysis, Introductory Courses, Information Systems, Information Technology
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Hammerman, James K.; Rubin, Andee – Statistics Education Research Journal, 2004
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…
Descriptors: Computer Software, Data Analysis, Grade 6, Middle School Teachers