40 datasets found
  1. m

    2025 Green Card Report for Master In Business Administration Business...

    • myvisajobs.com
    Updated Jan 16, 2025
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    MyVisaJobs (2025). 2025 Green Card Report for Master In Business Administration Business Statistics Data Analytics [Dataset]. https://www.myvisajobs.com/reports/green-card/major/master-in-business-administration--business-statistics--data-analytics
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Major, Salary, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for master in business administration business statistics data analytics in the U.S.

  2. e

    Descriptive Statistics

    • paper.erudition.co.in
    html
    Updated Sep 2, 2025
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    Einetic (2025). Descriptive Statistics [Dataset]. https://paper.erudition.co.in/makaut/master-of-computer-applications-2-years/3/basic-data-science
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    htmlAvailable download formats
    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Descriptive Statistics of Basic Data Science, 3rd Semester , Master of Computer Applications (2 Years)

  3. e

    Inferential Statistics

    • paper.erudition.co.in
    html
    Updated Sep 2, 2025
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    Einetic (2025). Inferential Statistics [Dataset]. https://paper.erudition.co.in/makaut/master-of-computer-applications-2-years/3/basic-data-science
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    htmlAvailable download formats
    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Inferential Statistics of Basic Data Science, 3rd Semester , Master of Computer Applications (2 Years)

  4. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Master%20In%20Business%20Administration%20%20Business%20Statistics%20%20Data%20Analytics
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Master In Business Administration Business Statistics Data Analytics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Master In Business Administration Business Statistics Data Analytics relative to other fields. This data is essential for students assessing the return on investment of their education in Master In Business Administration Business Statistics Data Analytics, providing a clear picture of financial prospects post-graduation.

  5. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Statistics%20%20Data%20Science%20Concentration
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Statistics Data Science Concentration. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Statistics Data Science Concentration. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  6. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Statistics%20Data%20Science
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Statistics Data Science. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Statistics Data Science. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  7. F

    All Employees: Professional and Business Services: Professional, Scientific,...

    • fred.stlouisfed.org
    json
    Updated Aug 20, 2025
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    (2025). All Employees: Professional and Business Services: Professional, Scientific, and Technical Services in Jackson, MS (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU28271406054000001SA
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    jsonAvailable download formats
    Dataset updated
    Aug 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Jackson, Mississippi
    Description

    Graph and download economic data for All Employees: Professional and Business Services: Professional, Scientific, and Technical Services in Jackson, MS (MSA) (SMU28271406054000001SA) from Jan 2001 to Jul 2025 about Jackson, science, MS, professional, services, employment, and USA.

  8. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Applied%20Statistics%20%20Data%20Analytics
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Applied Statistics Data Analytics. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Applied Statistics Data Analytics. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  9. U

    Discrete and daily-aligned groundwater levels, metadata, and other...

    • data.usgs.gov
    • catalog.data.gov
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    Angela Robinson; Erik Wojtylko; William Asquith; Ronald Seanor; Courtney Killian; Virginia McGuire, Discrete and daily-aligned groundwater levels, metadata, and other attributes useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain, 1980–2019 [Dataset]. http://doi.org/10.5066/P9O3XGBK
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Angela Robinson; Erik Wojtylko; William Asquith; Ronald Seanor; Courtney Killian; Virginia McGuire
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 1, 1980 - Dec 31, 2019
    Area covered
    Mississippi River, Mississippi River Alluvial Plain
    Description

    A combination of discrete and daily-aligned groundwater levels for the Mississippi River Valley alluvial aquifer clipped to the Mississippi Alluvial Plain, as defined by Painter and Westerman (2018), with corresponding metadata are based on processing of U.S. Geological Survey National Water Information System (NWIS) (U.S. Geological Survey, 2020) data. The processing was made after retrieval using aggregation and filtering through the infoGW2visGWDB software (Asquith and Seanor, 2019). The nomenclature GWmaster mimics that of the output from infoGW2visGWDB. Two separate data retrievals for NWIS were made. First, the discrete data were retrieved, and second, continuous records from recorder sites with daily-mean or other daily statistics codes were retrieved. Each dataset was separately passed through the infoGW2visGWDB software to create a "GWmaster discrete" and "GWmaster continuous" and these tables were combined and then sorted on the site identifier and date to form the data ...

  10. f

    Data from: MS-DAP Platform for Downstream Data Analysis of Label-Free...

    • acs.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 1, 2023
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    Frank Koopmans; Ka Wan Li; Remco V. Klaassen; August B. Smit (2023). MS-DAP Platform for Downstream Data Analysis of Label-Free Proteomics Uncovers Optimal Workflows in Benchmark Data Sets and Increased Sensitivity in Analysis of Alzheimer’s Biomarker Data [Dataset]. http://doi.org/10.1021/acs.jproteome.2c00513.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    ACS Publications
    Authors
    Frank Koopmans; Ka Wan Li; Remco V. Klaassen; August B. Smit
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    In the rapidly moving proteomics field, a diverse patchwork of data analysis pipelines and algorithms for data normalization and differential expression analysis is used by the community. We generated a mass spectrometry downstream analysis pipeline (MS-DAP) that integrates both popular and recently developed algorithms for normalization and statistical analyses. Additional algorithms can be easily added in the future as plugins. MS-DAP is open-source and facilitates transparent and reproducible proteome science by generating extensive data visualizations and quality reporting, provided as standardized PDF reports. Second, we performed a systematic evaluation of methods for normalization and statistical analysis on a large variety of data sets, including additional data generated in this study, which revealed key differences. Commonly used approaches for differential testing based on moderated t-statistics were consistently outperformed by more recent statistical models, all integrated in MS-DAP. Third, we introduced a novel normalization algorithm that rescues deficiencies observed in commonly used normalization methods. Finally, we used the MS-DAP platform to reanalyze a recently published large-scale proteomics data set of CSF from AD patients. This revealed increased sensitivity, resulting in additional significant target proteins which improved overlap with results reported in related studies and includes a large set of new potential AD biomarkers in addition to previously reported.

  11. U.S. average salary for master's graduates 2024, by discipline

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). U.S. average salary for master's graduates 2024, by discipline [Dataset]. https://www.statista.com/statistics/635512/average-salary-of-graduates-in-the-us-by-discipline/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 6, 2023 - Nov 30, 2023
    Area covered
    United States
    Description

    In 2024, it was projected that people in the United States with a Master’s degree in Computer Science would have the highest average starting salary, at 85,403 U.S. dollars. People who held a Master’s degree in Engineering were projected to have the second-highest starting salary, at 83,628 U.S. dollars. An abundance of Masters As higher education in the United States has become more common, and even expected, the number of Master’s degrees awarded has increased. During the 1949-50 academic year, about 58,180 Master’s degrees were awarded to students, with the vast majority being earned by male students. In the 2018-19 academic year, this figure increased to about 833,710 Master’s degrees awarded, with the majority being earned by female students. The right career While Engineering might have the highest starting pay for Master’s degree holders, those with a Master’s degree as a Physician Assistant had the highest mid-career median pay in 2021. Engineering continues to be one of the most popular fields for those seeking their Master’s degree, and STEM fields continue to dominate the field in number of Master’s degrees awarded.

  12. d

    Synthetic: National Population Health Survey, 1996-1997: Health Component...

    • dataone.org
    Updated Dec 28, 2023
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    Statistics Canada (2023). Synthetic: National Population Health Survey, 1996-1997: Health Component [Canada]: Cycle 2 [Dataset]. http://doi.org/10.5683/SP3/ZRHL32
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Time period covered
    Jan 1, 1996 - Jan 1, 1997
    Area covered
    Canada
    Description

    Please note: This is a Synthetic data file, also known as a Dummy file - it is not real data. This synthetic file should not be used for purposes other than to develop an test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preperation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Resource Data Centres. In the fall of 1991, the National Health Information Council recommended that an ongoing national survey of population health be conducted. This recommendation was based on consideration of the economic and fiscal pressures on the health care systems and the requirement for information with which to improve the health status of the population in Canada. Commencing in April 1992, Statistics Canada received funding for development of a National Population Health Survey (NPHS). The NPHS collects information related to the health of the Canadian population and related socio-demographic information to: aid in the development of public policy by providing measures of the level, trend and distribution of the health status of the population, provide data for analytic studies that will assist in understanding the determinants of health, and collect data on the economic, social, demographic, occupational and environmental correlates of health. In addition the NPHS seeks to increase the understanding of the relationship between health status and health care utilization, including alternative as well as traditional services, and also to allow the possibility of linking survey data to routinely collected administrative data such as vital statistics, environmental measures, community variables, and health services utilization. The NPHS collects information related to the health of the Canadian population and related socio-demographic information. It is composed of three components: the Households, the Health Institutions, and the North components. The Household component started in 1994/1995 and is conducted every two years. The first two cycles (1994/1995, 1996/1997) were both cross-sectional and longitudinal. The NPHS longitudinal sample includes 17,276 persons from all ages in 1994/1995 and these same persons are to be interviewed every two years. Each cycle, a common set of health questions is asked to the respondents. This allows for the analysis of changes in the health of the respondents over time. In addition to the common set of questions, the questionnaire does include focus content and supplements that change from cycle to cycle. Health Canada, Public Health Agency of Canada and provincial ministries of health use NPHS longitudinal data to plan, implement and evaluate programs and health policies to improve health and the efficiency of health services. Non-profit health organizations and researchers in the academic fields use the information to move research ahead and to improve health.

  13. F

    All Employees: Professional, Scientific, and Technical Services in Jackson,...

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
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    (2025). All Employees: Professional, Scientific, and Technical Services in Jackson, MS (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU28271406054000001A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Jackson, Mississippi
    Description

    Graph and download economic data for All Employees: Professional, Scientific, and Technical Services in Jackson, MS (MSA) (SMU28271406054000001A) from 2001 to 2024 about Jackson, science, MS, professional, services, employment, and USA.

  14. f

    Appendix B. Data collection summary statistics, LA-ICP-MS quality control...

    • wiley.figshare.com
    html
    Updated Jun 1, 2023
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    J. Derek Hogan; Michael J. Blum; James F. Gilliam; Nate Bickford; Peter B. McIntyre (2023). Appendix B. Data collection summary statistics, LA-ICP-MS quality control data, and univariate statistics for element:calcium ratios from otolith samples. [Dataset]. http://doi.org/10.6084/m9.figshare.3560175.v1
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Wiley
    Authors
    J. Derek Hogan; Michael J. Blum; James F. Gilliam; Nate Bickford; Peter B. McIntyre
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data collection summary statistics, LA-ICP-MS quality control data, and univariate statistics for element:calcium ratios from otolith samples.

  15. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Statistical%20Science%2C%20Applied%20Statistics%20And%20Data%20Analytics
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Statistical Science, Applied Statistics And Data Analytics. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Statistical Science, Applied Statistics And Data Analytics. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  16. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Master%20In%20Business%20Administration%20%20Business%20Statistics%20%20Data%20Analytics
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Master In Business Administration Business Statistics Data Analytics. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Master In Business Administration Business Statistics Data Analytics. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  17. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Master%20Of%20Science%20Applied%20Statistics
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Master Of Science Applied Statistics from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Master Of Science Applied Statistics relative to other fields. This data is essential for students assessing the return on investment of their education in Master Of Science Applied Statistics, providing a clear picture of financial prospects post-graduation.

  18. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Data%20Science%20And%20Applied%20Statistics
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Data Science And Applied Statistics. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Data Science And Applied Statistics. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  19. g

    Archival Version

    • datasearch.gesis.org
    Updated Aug 5, 2015
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    United Nations (2015). Archival Version [Dataset]. http://doi.org/10.3886/ICPSR07893
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    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United Nations
    Description

    This data collection contains energy commodity production statistics for approximately 200 United Nations reporting countries for the years 1970-1979. In this file, each record refers to an individual reporting country and the quantity of its various transactions (e.g., production, imports, exports, bunkers, additions to stocks, and capacity) for a given energy commodity in a given year. Only annual data are included. The 70 types of commodities reported include solid fuels (e.g., coal, peat, and charcoal), liquid fuels (e.g., crude petroleum, gasoline, and kerosene), gases, uranium, and both industrial and public types of geothermal, hydro, and nuclear generated electricity. Information is also included on the population (in thousands) of the reporting country, the quantity of the commodity per transaction, and the date of the transaction. Supplementary data not contained in this data collection are in the introduction and footnotes of the individual tables published in the YEARBOOK OF WORLD ENERGY STATISTICS, 1979.

  20. Data from: ASTRAL: genome-scale coalescent-based species tree estimation

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, zip
    Updated Jan 5, 2024
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    Siavash Mirarab; Siavash Mirarab; R. Reaz; Md. S. Bayzid; T. Zimmermann; M. S. Swenson; T. Warnow; R. Reaz; Md. S. Bayzid; T. Zimmermann; M. S. Swenson; T. Warnow (2024). Data from: ASTRAL: genome-scale coalescent-based species tree estimation [Dataset]. http://doi.org/10.5061/dryad.ht76hdrp0
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    zip, binAvailable download formats
    Dataset updated
    Jan 5, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Siavash Mirarab; Siavash Mirarab; R. Reaz; Md. S. Bayzid; T. Zimmermann; M. S. Swenson; T. Warnow; R. Reaz; Md. S. Bayzid; T. Zimmermann; M. S. Swenson; T. Warnow
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Measurement technique
    <p>Availability and implementation: ASTRAL is available in open source form at https://github.com/smirarab/ASTRAL/. Datasets studied in this article are available at http://www.cs.utexas.edu/users/phylo/datasets/astral. Contact: warnow@illinois.edu Supplementary information: Supplementary data are available at Bioinformatics online.</p>
    Description

    Species trees provide insight into basic biology, including the mechanisms of evolution and how it modifies biomolecular function and structure, biodiversity and co-evolution between genes and species. Yet, gene trees often differ from species trees, creating challenges to species tree estimation. One of the most frequent causes for conflicting topologies between gene trees and species trees is incomplete lineage sorting (ILS), which is modelled by the multi-species coalescent. While many methods have been developed to estimate species trees from multiple genes, some which have statistical guarantees under the multi-species coalescent model, existing methods are too computationally intensive for use with genome-scale analyses or have been shown to have poor accuracy under some realistic conditions.

    Results: We present ASTRAL, a fast method for estimating species trees from multiple genes. ASTRAL is statistically consistent, can run on datasets with thousands of genes and has outstanding accuracy—improving on MP-EST and the population tree from BUCKy, two statistically consistent leading coalescent-based methods. ASTRAL is often more accurate than concatenation using maximum likelihood, except when ILS levels are low or there are too few gene trees.

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MyVisaJobs (2025). 2025 Green Card Report for Master In Business Administration Business Statistics Data Analytics [Dataset]. https://www.myvisajobs.com/reports/green-card/major/master-in-business-administration--business-statistics--data-analytics

2025 Green Card Report for Master In Business Administration Business Statistics Data Analytics

Explore at:
Dataset updated
Jan 16, 2025
Dataset authored and provided by
MyVisaJobs
License

https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

Variables measured
Major, Salary, Petitions Filed
Description

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for master in business administration business statistics data analytics in the U.S.

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