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Data Analytics and Decision Making

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dc.contributor.author AbdulHussein, Ali
dc.contributor.editor Fujita, Nobuko
dc.contributor.other Teplovs, Chris
dc.contributor.other Arora, Sakshi
dc.contributor.other Tambe, Shreyas
dc.contributor.other Carnevale, Patrick
dc.contributor.other Fujita, Nobuko
dc.date.accessioned 2022-06-21T15:56:44Z
dc.date.available 2022-06-21T15:56:44Z
dc.date.issued 2022-02-28
dc.identifier c2890b91-4859-414a-965d-2cb4d8560905
dc.identifier.uri https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1477
dc.description.sponsorship This project is made possible with funding by the Government of Ontario and through eCampusOntario’s support of the Virtual Learning Strategy. en_US
dc.description.tableofcontents 1. Introduction to Data Analytics and Decision Making en_US
dc.description.tableofcontents 2. Descriptive Analytics en_US
dc.description.tableofcontents 3. Predictive Analytics en_US
dc.description.tableofcontents 4. Prescriptive Analytics en_US
dc.language.iso eng en_US
dc.publisher University of Windsor en_US
dc.relation.isformatof https://ecampusontario.pressbooks.pub/dataanalyticsvls1/ en_US
dc.rights CC BY | https://creativecommons.org/licenses/by/4.0/ en_US
dc.title Data Analytics and Decision Making en_US
dc.type Book en_US
dcterms.accessRights Open Access en_US
dcterms.accessRights Open Access
dcterms.educationLevel University - Graduate & Post-Graduate en_US
dc.identifier.slug https://openlibrary.ecampusontario.ca/catalogue/item/?id=c2890b91-4859-414a-965d-2cb4d8560905
dc.rights.holder Office of Open Learning, University of Windsor | openlearning@uwindsor.ca en_US
ecO-OER.Adopted Yes en_US
ecO-OER.AncillaryMaterial No en_US
ecO-OER.InstitutionalAffiliation University of Windsor en_US
ecO-OER.ISNI 0000 0004 4910 2745 en_US
ecO-OER.Reviewed No en_US
ecO-OER.AccessibilityStatement Yes en_US
ecO-OER.ORCID 0000-0002-9981-4412 en_US
ecO-OER.ORCID 0000-0002-4042-1403 en_US
lrmi.learningResourceType Instructional Object - Video Asset en_US
lrmi.learningResourceType Assessment - Self-Assessment/Practice en_US
lrmi.learningResourceType Learning Resource - Textbook en_US
ecO-OER.POD.compatible No en_US
dc.description.abstract Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, “a new online course” if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions. en_US
dc.subject.other Business & Economy - Business Management en_US
dc.subject.other Engineering en_US
dc.subject.other Sciences - Mathematics & Statistics en_US
dc.subject.other Technology - Computer Science en_US
ecO-OER.VLS.projectID WIND-1130 en_US
ecO-OER.VLS.Category Digital Content - Create a New Online Course en_US
ecO-OER.VLS Yes en_US
ecO-OER.CVLP No en_US
ecO-OER.ItemType Textbook en_US
ecO-OER.MediaFormat eBook en_US
ecO-OER.MediaFormat HTML/XML en_US
ecO-OER.MediaFormat Office applications en_US
ecO-OER.MediaFormat PDF en_US
ecO-OER.VLS.cvlpSupported No en_US


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