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Full-Text Articles in Business
Enhancing Veterans' Access To Stem Education And Careers: A Labor Market Analysis Of Veterans In The Stem Workforce, Rosalinda V. Maury, Brice M. Stone, Nicholas Armstrong
Enhancing Veterans' Access To Stem Education And Careers: A Labor Market Analysis Of Veterans In The Stem Workforce, Rosalinda V. Maury, Brice M. Stone, Nicholas Armstrong
Institute for Veterans and Military Families
This research brief presents key highlights on recent veteran participation in the STEM workforce drawing upon an analysis of the American Community Survey (2012-2016), led by the U.S. Census Bureau. From this data, the research team examined veteran participation across 49 distinct STEM occupations, which are grouped into the following five occupational clusters: Engineering, Information Technology and Computer Science, Life and Physical Sciences, Mathematics, and Supervisor/ Management of STEM occupations. Among other analyses, the research team identified year-over-year trends in veteran participation, geographic distribution, and comparisons to non-veterans across all STEM occupations.
The Story Of V-Start: The Veterans Strategic Analysis And Research Tool, Institute For Veterans And Military Families At Syracuse University
The Story Of V-Start: The Veterans Strategic Analysis And Research Tool, Institute For Veterans And Military Families At Syracuse University
Institute for Veterans and Military Families
V-START is an invaluable data visualization tool that consolidates veteran demographic, education, socioeconomic, and unemployment data into a user-friendly interface that allows users to quickly analyze and explore geographic areas of interest to uncover trends and inform decisions related to veteran programs and services.
Introduction To Data Science, Jeffrey M. Stanton
Introduction To Data Science, Jeffrey M. Stanton
School of Information Studies - Faculty Scholarship
In this Introduction to Data Science eBook, a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists. The open source data analysis program known as "R" and its graphical user interface companion "R-Studio" are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges. To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.