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This dataset is about book subjects. It has 3 rows and is filtered where the books is Business statistics using Excel & SPSS. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Comprehensive dataset of 2 Training courses in Washington, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/
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.
Comprehensive dataset of 9 High ropes courses in South Carolina, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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The Impact of Homework Deadline Times on College Student Performance and Stress: A Quasi-Experiment in Business Statistics
The global big data and business analytics (BDA) market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 215.7 billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around 85 billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate 79.4 ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around 16.5 billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.
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IPA06 - Structural Business Statistics. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Structural Business Statistics...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Learning is an intentional activity, with several factors affecting students’ intention to use new learning technology. Researchers have investigated technology acceptance in different contexts by developing various theories/models and testing them by a number of means. Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. To address this gap, the unified theory of acceptance and technology use in the context of e-learning via Facebook are re-examined in this study using Bayesian analysis. The data (S1 Data) were collected from 170 students enrolled in a business statistics course at University of Malaya, Malaysia, and tested with the maximum likelihood and Bayesian approaches. The difference between the two methods’ results indicates that performance expectancy and hedonic motivation are the strongest factors influencing the intention to use e-learning via Facebook. The Bayesian estimation model exhibited better data fit than the maximum likelihood estimator model. The results of the Bayesian and maximum likelihood estimator approaches are compared and the reasons for the result discrepancy are deliberated.
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IPA05 - Structural Business Statistics. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Structural Business Statistics...
Comprehensive dataset of 1,088 Training courses in South Korea as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Structural Business Statistics by Nationality of Ownership, Sector, Persons Engaged, Year and Statistic
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Number of businesses in routes of 1 000 m x 1 000 m as of 01 January. The breakdown indicates the total number of businesses in the routes. Historical versions back to 2013.
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Validity and reliability based on AVE and Cronbach’s Alpha values.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Scottish Annual Business Survey - filtered for Renfrewshire (totals)
https://data.gov.tw/licensehttps://data.gov.tw/license
The organization's petition business statistics...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Regression analysis of the business environment well-being index is presented.
This data set features businesses/individuals holding a DCA license so that they may legally operate in New York City. Note: Sightseeing guides and temporary street fair vendors are not included in this data set.
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKIhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKI
InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.
https://data.gov.tw/licensehttps://data.gov.tw/license
"113 Annual Petition Business Statistics Form"....
Comprehensive dataset of 27 Training courses in Czech Republic as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset is about book subjects. It has 3 rows and is filtered where the books is Business statistics using Excel & SPSS. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.