28 datasets found
  1. Online Data Science Training Programs Market Analysis, Size, and Forecast...

    • technavio.com
    Updated Feb 15, 2025
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    Technavio (2025). Online Data Science Training Programs Market Analysis, Size, and Forecast 2025-2029: North America (Mexico), Europe (France, Germany, Italy, and UK), Middle East and Africa (UAE), APAC (Australia, China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/online-data-science-training-programs-market-industry-analysis
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Mexico, United Kingdom, Germany, Global
    Description

    Snapshot img

    Online Data Science Training Programs Market Size 2025-2029

    The online data science training programs market size is forecast to increase by USD 8.67 billion, at a CAGR of 35.8% between 2024 and 2029.

    The market is experiencing significant growth due to the increasing demand for data science professionals in various industries. The job market offers lucrative opportunities for individuals with data science skills, making online training programs an attractive option for those seeking to upskill or reskill. Another key driver in the market is the adoption of microlearning and gamification techniques in data science training. These approaches make learning more engaging and accessible, allowing individuals to acquire new skills at their own pace. Furthermore, the availability of open-source learning materials has democratized access to data science education, enabling a larger pool of learners to enter the field. However, the market also faces challenges, including the need for continuous updates to keep up with the rapidly evolving data science landscape and the lack of standardization in online training programs, which can make it difficult for employers to assess the quality of graduates. Companies seeking to capitalize on market opportunities should focus on offering up-to-date, high-quality training programs that incorporate microlearning and gamification techniques, while also addressing the challenges of continuous updates and standardization. By doing so, they can differentiate themselves in a competitive market and meet the evolving needs of learners and employers alike.

    What will be the Size of the Online Data Science Training Programs Market during the forecast period?

    Request Free SampleThe online data science training market continues to evolve, driven by the increasing demand for data-driven insights and innovations across various sectors. Data science applications, from computer vision and deep learning to natural language processing and predictive analytics, are revolutionizing industries and transforming business operations. Industry case studies showcase the impact of data science in action, with big data and machine learning driving advancements in healthcare, finance, and retail. Virtual labs enable learners to gain hands-on experience, while data scientist salaries remain competitive and attractive. Cloud computing and data science platforms facilitate interactive learning and collaborative research, fostering a vibrant data science community. Data privacy and security concerns are addressed through advanced data governance and ethical frameworks. Data science libraries, such as TensorFlow and Scikit-Learn, streamline the development process, while data storytelling tools help communicate complex insights effectively. Data mining and predictive analytics enable organizations to uncover hidden trends and patterns, driving innovation and growth. The future of data science is bright, with ongoing research and development in areas like data ethics, data governance, and artificial intelligence. Data science conferences and education programs provide opportunities for professionals to expand their knowledge and expertise, ensuring they remain at the forefront of this dynamic field.

    How is this Online Data Science Training Programs Industry segmented?

    The online data science training programs industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeProfessional degree coursesCertification coursesApplicationStudentsWorking professionalsLanguageR programmingPythonBig MLSASOthersMethodLive streamingRecordedProgram TypeBootcampsCertificatesDegree ProgramsGeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

    By Type Insights

    The professional degree courses segment is estimated to witness significant growth during the forecast period.The market encompasses various segments catering to diverse learning needs. The professional degree course segment holds a significant position, offering comprehensive and in-depth training in data science. This segment's curriculum covers essential aspects such as statistical analysis, machine learning, data visualization, and data engineering. Delivered by industry professionals and academic experts, these courses ensure a high-quality education experience. Interactive learning environments, including live lectures, webinars, and group discussions, foster a collaborative and engaging experience. Data science applications, including deep learning, computer vision, and natural language processing, are integral to the market's growth. Data analysis, a crucial application, is gaining traction due to the increasing demand

  2. 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.

  3. 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
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    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

  4. Morocco No of Internet Subscribers

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). Morocco No of Internet Subscribers [Dataset]. https://www.ceicdata.com/en/morocco/internet-statistics/no-of-internet-subscribers
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2021 - Mar 1, 2024
    Area covered
    Morocco
    Description

    Morocco Number of Internet Subscribers data was reported at 42,127,000.000 Unit in Sep 2024. This records an increase from the previous number of 39,145,000.000 Unit for Jun 2024. Morocco Number of Internet Subscribers data is updated quarterly, averaging 7,094,075.000 Unit from Dec 2003 (Median) to Sep 2024, with 84 observations. The data reached an all-time high of 42,127,000.000 Unit in Sep 2024 and a record low of 60,812.000 Unit in Dec 2003. Morocco Number of Internet Subscribers data remains active status in CEIC and is reported by National Telecommunication Regulatory Agency. The data is categorized under Global Database’s Morocco – Table MA.TB001: Internet Statistics.

  5. 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/
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    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.

  6. 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

  7. Morocco No of Estimated Internet Users: Annual

    • ceicdata.com
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    CEICdata.com, Morocco No of Estimated Internet Users: Annual [Dataset]. https://www.ceicdata.com/en/morocco/internet-statistics/no-of-estimated-internet-users-annual
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2003 - Dec 1, 2014
    Area covered
    Morocco
    Variables measured
    Internet Statistics
    Description

    Morocco Number of Estimated Internet Users: Annual data was reported at 17,300,000.000 Person in 2014. This records an increase from the previous number of 16,300,000.000 Person for 2013. Morocco Number of Estimated Internet Users: Annual data is updated yearly, averaging 6,350,000.000 Person from Dec 1999 (Median) to 2014, with 16 observations. The data reached an all-time high of 17,300,000.000 Person in 2014 and a record low of 50,000.000 Person in 1999. Morocco Number of Estimated Internet Users: Annual data remains active status in CEIC and is reported by National Telecommunication Regulatory Agency. The data is categorized under Global Database’s Morocco – Table MA.TB001: Internet Statistics.

  8. 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
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    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-

  9. Statewide Live Birth Profiles

    • data.chhs.ca.gov
    • data.ca.gov
    • +6more
    csv, zip
    Updated Jul 28, 2025
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    California Department of Public Health (2025). Statewide Live Birth Profiles [Dataset]. https://data.chhs.ca.gov/dataset/test-cdph-statewide-live-birth-profiles
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    csv(1850), csv(146763), csv(142409), csv(6882), zipAvailable download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset contains counts of live births for California as a whole based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period.

    The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.

  10. 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
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    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.

  11. 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
    Explore at:
    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

  12. Morocco MA: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
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    CEICdata.com, Morocco MA: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/morocco/population-and-urbanization-statistics/ma-refugee-population-by-country-or-territory-of-origin
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Morocco
    Variables measured
    Population
    Description

    Morocco MA: Refugee Population: by Country or Territory of Origin data was reported at 3,064.000 Person in 2017. This records an increase from the previous number of 2,262.000 Person for 2016. Morocco MA: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 1,299.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 4,710.000 Person in 2006 and a record low of 15.000 Person in 1990. Morocco MA: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  13. 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.

  14. m

    Master OP EXP VIEW

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

  15. MA. Table 13. Libraries according to their Internet connection by type of...

    • ine.es
    csv, html, json +4
    Updated Nov 7, 2003
    + more versions
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    INE - Instituto Nacional de Estadística (2003). MA. Table 13. Libraries according to their Internet connection by type of library [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t12/p403/a2000/l1/&file=03ma013.px&L=1
    Explore at:
    txt, xlsx, html, csv, xls, json, text/pc-axisAvailable download formats
    Dataset updated
    Nov 7, 2003
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Type of library, Internet connection
    Description

    Libraries Statistics: MA. Table 13. Libraries according to their Internet connection by type of library. National.

  16. 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
  17. 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
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    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

  18. 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
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    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.

  19. 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
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    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.
  20. Percentage of the U.S. population with a college degree, by gender 1940-2022...

    • statista.com
    • ai-chatbox.pro
    Updated Sep 5, 2024
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    Statista (2024). Percentage of the U.S. population with a college degree, by gender 1940-2022 [Dataset]. https://www.statista.com/statistics/184272/educational-attainment-of-college-diploma-or-higher-by-gender/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In an impressive increase from years past, 39 percent of women in the United States had completed four years or more of college in 2022. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 36.2 percent of the U.S. male population having completed four years or more of college in 2022, up from 5.5 percent in 1940.

    4- and 2-year colleges

    In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree.

    Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job.

    Earnings after college

    Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance.

    All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.

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Technavio (2025). Online Data Science Training Programs Market Analysis, Size, and Forecast 2025-2029: North America (Mexico), Europe (France, Germany, Italy, and UK), Middle East and Africa (UAE), APAC (Australia, China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/online-data-science-training-programs-market-industry-analysis
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Online Data Science Training Programs Market Analysis, Size, and Forecast 2025-2029: North America (Mexico), Europe (France, Germany, Italy, and UK), Middle East and Africa (UAE), APAC (Australia, China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW)

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Dataset updated
Feb 15, 2025
Dataset provided by
TechNavio
Authors
Technavio
Time period covered
2021 - 2025
Area covered
Mexico, United Kingdom, Germany, Global
Description

Snapshot img

Online Data Science Training Programs Market Size 2025-2029

The online data science training programs market size is forecast to increase by USD 8.67 billion, at a CAGR of 35.8% between 2024 and 2029.

The market is experiencing significant growth due to the increasing demand for data science professionals in various industries. The job market offers lucrative opportunities for individuals with data science skills, making online training programs an attractive option for those seeking to upskill or reskill. Another key driver in the market is the adoption of microlearning and gamification techniques in data science training. These approaches make learning more engaging and accessible, allowing individuals to acquire new skills at their own pace. Furthermore, the availability of open-source learning materials has democratized access to data science education, enabling a larger pool of learners to enter the field. However, the market also faces challenges, including the need for continuous updates to keep up with the rapidly evolving data science landscape and the lack of standardization in online training programs, which can make it difficult for employers to assess the quality of graduates. Companies seeking to capitalize on market opportunities should focus on offering up-to-date, high-quality training programs that incorporate microlearning and gamification techniques, while also addressing the challenges of continuous updates and standardization. By doing so, they can differentiate themselves in a competitive market and meet the evolving needs of learners and employers alike.

What will be the Size of the Online Data Science Training Programs Market during the forecast period?

Request Free SampleThe online data science training market continues to evolve, driven by the increasing demand for data-driven insights and innovations across various sectors. Data science applications, from computer vision and deep learning to natural language processing and predictive analytics, are revolutionizing industries and transforming business operations. Industry case studies showcase the impact of data science in action, with big data and machine learning driving advancements in healthcare, finance, and retail. Virtual labs enable learners to gain hands-on experience, while data scientist salaries remain competitive and attractive. Cloud computing and data science platforms facilitate interactive learning and collaborative research, fostering a vibrant data science community. Data privacy and security concerns are addressed through advanced data governance and ethical frameworks. Data science libraries, such as TensorFlow and Scikit-Learn, streamline the development process, while data storytelling tools help communicate complex insights effectively. Data mining and predictive analytics enable organizations to uncover hidden trends and patterns, driving innovation and growth. The future of data science is bright, with ongoing research and development in areas like data ethics, data governance, and artificial intelligence. Data science conferences and education programs provide opportunities for professionals to expand their knowledge and expertise, ensuring they remain at the forefront of this dynamic field.

How is this Online Data Science Training Programs Industry segmented?

The online data science training programs industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeProfessional degree coursesCertification coursesApplicationStudentsWorking professionalsLanguageR programmingPythonBig MLSASOthersMethodLive streamingRecordedProgram TypeBootcampsCertificatesDegree ProgramsGeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Type Insights

The professional degree courses segment is estimated to witness significant growth during the forecast period.The market encompasses various segments catering to diverse learning needs. The professional degree course segment holds a significant position, offering comprehensive and in-depth training in data science. This segment's curriculum covers essential aspects such as statistical analysis, machine learning, data visualization, and data engineering. Delivered by industry professionals and academic experts, these courses ensure a high-quality education experience. Interactive learning environments, including live lectures, webinars, and group discussions, foster a collaborative and engaging experience. Data science applications, including deep learning, computer vision, and natural language processing, are integral to the market's growth. Data analysis, a crucial application, is gaining traction due to the increasing demand

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