17 datasets found
  1. TONS (Training Online Nomination System) Training Master File

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Jul 4, 2025
    + more versions
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    Social Security Administration (2025). TONS (Training Online Nomination System) Training Master File [Dataset]. https://catalog.data.gov/dataset/tons-training-online-nomination-system-training-master-file
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    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    A file that holds the master records for all online training courses nominated for reimbursement.

  2. Northern Ireland Census 2021 - MS-H08 National Statistics Socio-economic...

    • statistics.ukdataservice.ac.uk
    csv, xlsx
    Updated Jun 10, 2024
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2024). Northern Ireland Census 2021 - MS-H08 National Statistics Socio-economic Classification (NS-SeC) by sex [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-ms-h08-national-statistics-socio-economic-classification-ns-sec-by-sex
    Explore at:
    xlsx, csvAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Ireland, Northern Ireland
    Description

    This dataset provides Census 2021 estimates for National Statistics Socio-economic Classification (NS-SeC) by sex in Northern Ireland. The estimates are as at census day, 21 March 2021.

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

    The quality assurance report can be found here

  3. Data Science related tracks

    • kaggle.com
    Updated Jun 12, 2021
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    swdmop (2021). Data Science related tracks [Dataset]. https://www.kaggle.com/andrsenrique/data-science-online-specializations-dataset/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 12, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    swdmop
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Description

    Dataset

    This dataset was created by swdmop

    Released under GPL 2

    Contents

  4. LinkedIn: U.S. users 2025, by education

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). LinkedIn: U.S. users 2025, by education [Dataset]. https://www.statista.com/statistics/246180/share-of-us-internet-users-who-use-linkedin-by-education-level/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2023
    Area covered
    United States
    Description

    According to an online survey conducted in February 2025 in the United States, ********* of LinkedIn users held a bachelor degree or equivalent. Additionally, ** percent of LinkedIn users in the U.S. held a masters degree or equivalent.

  5. Immigration statistics data tables, year ending June 2020

    • gov.uk
    Updated Aug 27, 2020
    + more versions
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    Home Office (2020). Immigration statistics data tables, year ending June 2020 [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-statistics-data-tables-year-ending-june-2020
    Explore at:
    Dataset updated
    Aug 27, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    The Home Office has changed the format of the published data tables for a number of areas (asylum and resettlement, entry clearance visas, extensions, citizenship, returns, detention, and sponsorship). These now include summary tables, and more detailed datasets (available on a separate page, link below). A list of all available datasets on a given topic can be found in the ‘Contents’ sheet in the ‘summary’ tables. Information on where to find historic data in the ‘old’ format is in the ‘Notes’ page of the ‘summary’ tables.

    The Home Office intends to make these changes in other areas in the coming publications. If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.

    Related content

    Immigration statistics, year ending June 2020
    Immigration Statistics Quarterly Release
    Immigration Statistics User Guide
    Publishing detailed data tables in migration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Immigration statistics data archives

    Asylum and resettlement

    https://assets.publishing.service.gov.uk/media/5f6cae16e90e077517f05a5f/asylum-summary-jun-2020-tables.xlsx">Asylum and resettlement summary tables, year ending June 2020 (MS Excel Spreadsheet, 121 KB)

    Detailed asylum and resettlement datasets

    Sponsorship

    https://assets.publishing.service.gov.uk/media/5f3bcb1fe90e0732d9008e25/sponsorship-summary-jun-2020-tables.xlsx">Sponsorship summary tables, year ending June 2020 (MS Excel Spreadsheet, 72.4 KB)

    Detailed sponsorship datasets

    Entry clearance visas granted outside the UK

    https://assets.publishing.service.gov.uk/media/5f3bcb678fa8f5173cc5f9ed/visas-summary-jun-2020-tables.xlsx">Entry clearance visas summary tables, year ending June 2020 (MS Excel Spreadsheet, 64.9 KB)

    Detailed entry clearance visas datasets

    Passenger arrivals (admissions)

    https://assets.publishing.service.gov.uk/media/5f3bcbbae90e0732d9008e26/passenger-arrivals-admissions-summary-jun-2020-tables.xlsx">Passenger arrivals (admissions) summary tables, year ending June 2020 (MS Excel Spreadsheet, 76 KB)

    Detailed Passengers initially refused entry at port datasets

    Extensions

    https://assets.publishing.service.gov.uk/media/5f3bcbf18fa8f51747a88061/extentions-summary-jun-2020-tables.xlsx">Extensions summary tables, year ending June 2020 (MS Excel Spreadsheet, 42.9 KB)

    <a href="https://www.gov.uk/government/statistical-data-sets/managed-

  6. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 10, 2025
    + more versions
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    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
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    Dataset updated
    Jul 10, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/" class="govuk-link">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety" class="govuk-link">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/" class="govuk-link">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/686d2aa22557debd867cbe14/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 153 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/686d2ab52557debd867cbe15/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.19 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/686d2aca10d550c668de3c69/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 201 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/686d2ad92557debd867cbe16/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 492 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/686d2af42cfe301b5fb6789f/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, <span class="gem-c-attac

  7. m

    Transdisciplinary Team Building Using a Real-World Case Study on the...

    • data.mendeley.com
    Updated Nov 6, 2020
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    Sarah Hooper (2020). Transdisciplinary Team Building Using a Real-World Case Study on the Pandemic COVID-19 [Dataset]. http://doi.org/10.17632/sgngmzxzbr.1
    Explore at:
    Dataset updated
    Nov 6, 2020
    Authors
    Sarah Hooper
    License

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

    Description

    The COVID-19 data sets and associated Jupyter Hub notebooks are support for a manuscript describing how data science was shown to be effective in developing a transdisciplinary team and the production of novel outputs in part due to the common learning process of all team members being part of an online professional data science and analytics master’s degree program. This online curriculum helped the team members to find a common process that allowed them learn in common (Kläy, Zimmermann, & Schneider, 2015), transdisciplinary learning a key component of transdisciplinary teamwork (Yeung, 2015). Our team's Jupyter Hub files with complete coding and data set explanations are uploaded to document this teamwork and the outputs of the team.

  8. a

    Master OP EXP VIEW

    • open-budget-citymgm.hub.arcgis.com
    • opendata.montgomeryal.gov
    • +2more
    Updated Jan 27, 2020
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    City of Montgomery ArcGIS Online (2020). Master OP EXP VIEW [Dataset]. https://open-budget-citymgm.hub.arcgis.com/datasets/master-op-exp-view
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    Dataset updated
    Jan 27, 2020
    Dataset authored and provided by
    City of Montgomery ArcGIS Online
    Description

    Table View of Master_OP_EXP - Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Expense Dashboards. Update Schedule: Once per Month.

  9. A

    Massive Open Online Course (MOOC) Market Study by Reskilling & Online...

    • factmr.com
    csv, pdf
    Updated May 7, 2024
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    Fact.MR (2024). Massive Open Online Course (MOOC) Market Study by Reskilling & Online Certification, Language & Casual Learning, Supplemental Education, Higher Education, and Test Preparation from 2024 to 2034 [Dataset]. https://www.factmr.com/report/3077/mooc-market
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset provided by
    Fact.MR
    License

    https://www.factmr.com/privacy-policyhttps://www.factmr.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The global massive open online course (MOOC) market size is calculated to advance at a CAGR of 32% through 2034, which is set to increase its market value from US$ 13.2 billion in 2024 to US$ 212.7 billion by the end of 2034.

    Report AttributeDetail
    MOOC Market Size (2024E)US$ 13.2 Billion
    Projected Market Value (2034F)US$ 212.7 Billion
    Global Market Growth Rate (2024 to 2034)32% CAGR
    China Market Value (2034F)US$ 23.3 Billion
    Japan Market Growth Rate (2024 to 2034)32.6% CAGR
    North America Market Share (2024E)23.9%
    East Asia Market Value (2034F)US$ 49.1 Billion
    Key Companies Profiled

    Alison; Coursera Inc; edX Inc; Federica.EU; FutureLearn; Instructure; Intellipaat; iverity; Jigsaw Academy; Kadenze.

    Country Wise Insights

    AttributeUnited States
    Market Value (2024E)US$ 1.4 Billion
    Growth Rate (2024 to 2034)32.5% CAGR
    Projected Value (2034F)US$ 23.6 Billion
    AttributeChina
    Market Value (2024E)US$ 1.5 Billion
    Growth Rate (2024 to 2034)32% CAGR
    Projected Value (2034F)US$ 23.3 Billion

    Category-wise Insights

    AttributexMOOC
    Segment Value (2024E)US$ 9.3 Billion
    Growth Rate (2024 to 2034)30.8% CAGR
    Projected Value (2034F)US$ 136.1 Billion
    AttributeDegree & Master Programs
    Segment Value (2024E)US$ 6.4 Billion
    Growth Rate (2024 to 2034)30.2% CAGR
    Projected Value (2034F)US$ 89.3 Billion
  10. w

    Immigration system statistics data tables

    • gov.uk
    Updated May 22, 2025
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    Home Office (2025). Immigration system statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    List of the data tables as part of the Immigration System Statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.

    If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.

    Accessible file formats

    The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
    If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
    Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Immigration system statistics, year ending March 2025
    Immigration system statistics quarterly release
    Immigration system statistics user guide
    Publishing detailed data tables in migration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Immigration statistics data archives

    Passenger arrivals

    https://assets.publishing.service.gov.uk/media/68258d71aa3556876875ec80/passenger-arrivals-summary-mar-2025-tables.xlsx">Passenger arrivals summary tables, year ending March 2025 (MS Excel Spreadsheet, 66.5 KB)

    ‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.

    Electronic travel authorisation

    https://assets.publishing.service.gov.uk/media/681e406753add7d476d8187f/electronic-travel-authorisation-datasets-mar-2025.xlsx">Electronic travel authorisation detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 56.7 KB)
    ETA_D01: Applications for electronic travel authorisations, by nationality ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality

    Entry clearance visas granted outside the UK

    https://assets.publishing.service.gov.uk/media/68247953b296b83ad5262ed7/visas-summary-mar-2025-tables.xlsx">Entry clearance visas summary tables, year ending March 2025 (MS Excel Spreadsheet, 113 KB)

    https://assets.publishing.service.gov.uk/media/682c4241010c5c28d1c7e820/entry-clearance-visa-outcomes-datasets-mar-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 29.1 MB)
    Vis_D01: Entry clearance visa applications, by nationality and visa type
    Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome

    Additional d

  11. f

    Descriptive statistics-aggregate data.

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
    + more versions
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    Claudiu Coman; Luiza Mesesan-Schmitz; Laurentiu Gabriel Tiru; Gabriela Grosseck; Maria Cristina Bularca (2023). Descriptive statistics-aggregate data. [Dataset]. http://doi.org/10.1371/journal.pone.0257729.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Claudiu Coman; Luiza Mesesan-Schmitz; Laurentiu Gabriel Tiru; Gabriela Grosseck; Maria Cristina Bularca
    License

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

    Description

    Descriptive statistics-aggregate data.

  12. Northern Ireland Census 2021 - MS-B13: Main language - full detail

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated Jun 2, 2023
    + more versions
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). Northern Ireland Census 2021 - MS-B13: Main language - full detail [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/northern-ireland-census-2021-ms-b13-main-language-full-detail
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Ireland, Northern Ireland
    Description

    This dataset provides Census 2021 estimates that classify usual residents aged 3 and over in Northern Ireland by main language.

    The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

    This table reports the categories for which there are 10 or more usual residents. Where there are fewer than 10 usual residents for any category, these have been reported in a residual group which may or may not contain 10 or more usual residents in total.

    Main language is reported as provided by respondents; those who stated 'Chinese' are recorded as 'Chinese (not otherwise specified)'. If a specific Chinese language has been stated, it is recorded separately.

    Quality assurance report can be found here

  13. Environment Canada Water Level Data, 1850-

    • open.canada.ca
    • gimi9.com
    • +1more
    aac, html
    Updated Jun 12, 2024
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    Environment and Climate Change Canada (2024). Environment Canada Water Level Data, 1850- [Dataset]. https://open.canada.ca/data/en/dataset/9128b287-7659-49d9-8445-7d69fd5a2d77
    Explore at:
    html, aacAvailable download formats
    Dataset updated
    Jun 12, 2024
    Dataset provided by
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description
    1. Provides public access to real-time instantatenous water level collected at over 1800 active locations in Canada. These data are collected under a national program jointly administered under federal-provincial and federal-territorial cost-sharing agreements; 2. Provides public access to archived daily water level for stations of interest using search criteria. These data include: daily and monthly mean, max and min of water levels. For some sites, annual peaks and extremes are also recorded. Archived water level data are disseminated online; 3. Provides public access to a MS Access database file containing archived daily water level that users can download to their desktop. These data include: daily and monthly mean, max and min of water level. For some sites, annual peaks and extremes are also recorded. MS Access file is updated quarterly; 4. Provides public access to water level statistics for stations of interest using search criteria.
  14. Montserrat Total Online Stores by Industry

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). Montserrat Total Online Stores by Industry [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/ms
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    This chart offers an insightful look at the store count by category in Montserrat. Leading the way is Apparel, with 1 stores, which is 33.33% of the total stores in the region. Next is Gifts & Special Events, contributing 1 stores, or 33.33% of the region's total. Sports also has a notable presence, with 1 stores, making up 33.33% of the store count in Montserrat. This breakdown provides a clear picture of the diverse retail landscape in Montserrat, showcasing the variety and scale of stores across different categories.

  15. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    • +2more
    csv, excel, geojson +1
    Updated Aug 6, 2025
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    (2025). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
    Explore at:
    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Aug 6, 2025
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

  16. f

    BCA Bootstrap in MS EXCEL

    • figshare.com
    xlsx
    Updated Jul 1, 2020
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    Sudeepta Pran Baruah (2020). BCA Bootstrap in MS EXCEL [Dataset]. http://doi.org/10.6084/m9.figshare.12595019.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 1, 2020
    Dataset provided by
    figshare
    Authors
    Sudeepta Pran Baruah
    License

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

    Description

    Data were collected through an online survey and processed to create 95% CI using the BCA bootstrap confidence interval algorithm in MS EXCEL. Construction of confidence interval in MS EXCEL using the BCA bootstrap confidence interval algorithm is earlier not presented in any studies. The macro capabilities of MS EXCEL was utilized for the purpose stated.

  17. f

    Data from: Graduates from a Professional Master’s Degree Program in Family...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza (2023). Graduates from a Professional Master’s Degree Program in Family Health: Expectations, Motivations and Benefits [Dataset]. http://doi.org/10.6084/m9.figshare.9985946.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rocio Fernandes Santos Viniegra; Luis Guilherme Pessoa da Silva; Adriana Cavalcanti de Aguiar; Luciana Souza
    License

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

    Description

    ABSTRACT The health care model based on the Family Health Strategy, created in the early 1990s, encouraged changes in health education, highlighting the need to create lato and stricto sensu postgraduate courses aimed at empowering professionals that foster comprehensive health care. Periodic evaluations are carried out and encouraged by Capes/MEC in order to maintain the quality of postgraduate courses, but evaluations of recently-introduced professional master’s degree courses in family health remain scarce. Objectives To describe the academic profile, contribution, motivations and expectations of graduates of a Professional Master’s in Family Health. Method Cross-sectional and quantitative study to analyze the results of 102 questionnaires answered by graduates of the Professional Master’s Degree in Family Health of the Estácio de Sá University (RJ), who had concluded the course between 2007 and 2012. The instrument consisted of open-ended and closed-ended questions, sent by e-mail and made available online through the electronic platform Survey Monkey. The study evaluated age, gender, regional origin, academic background, as well as the contributions, expectations and motivations related to the course. Results The survey sample was formed predominantly by female graduates, aged over 30, from 13 Brazilian states and, mainly from Medicine and Nursing courses. The contribution of the master’s degree to the graduate’s professional life was evaluated as excellent by 77% of the interviewees. The expectations regarding the course were positively evaluated and the main reasons for seeking the qualification were scientific-technical improvement and personal satisfaction, rather than better salaries or job stability. Conclusion The course was evaluated positively by the graduates, having exceeded their expectations and satisfied the interests that led them to it, thus producing changes to their personal and professional life. A longitudinal analysis of the impact of the professional master’s degree in the career of graduates will require a sequence of similar studies, as has been stimulated by Capes/MEC in recent years.

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Social Security Administration (2025). TONS (Training Online Nomination System) Training Master File [Dataset]. https://catalog.data.gov/dataset/tons-training-online-nomination-system-training-master-file
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TONS (Training Online Nomination System) Training Master File

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Dataset updated
Jul 4, 2025
Dataset provided by
Social Security Administrationhttp://ssa.gov/
Description

A file that holds the master records for all online training courses nominated for reimbursement.

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