Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1477
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dc.contributor.authorAbdulHussein, Ali-
dc.contributor.editorFujita, Nobuko-
dc.contributor.otherTeplovs, Chris-
dc.contributor.otherArora, Sakshi-
dc.contributor.otherTambe, Shreyas-
dc.contributor.otherCarnevale, Patrick-
dc.contributor.otherFujita, Nobuko-
dc.date.accessioned2022-06-21T15:56:44Z-
dc.date.available2022-06-21T15:56:44Z-
dc.date.issued2022-02-28-
dc.identifierc2890b91-4859-414a-965d-2cb4d8560905-
dc.identifier.urihttps://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1477-
dc.description.sponsorshipThis 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.tableofcontents1. Introduction to Data Analytics and Decision Makingen_US
dc.description.tableofcontents2. Descriptive Analyticsen_US
dc.description.tableofcontents3. Predictive Analyticsen_US
dc.description.tableofcontents4. Prescriptive Analyticsen_US
dc.language.isoengen_US
dc.publisherUniversity of Windsoren_US
dc.relation.isformatofhttps://ecampusontario.pressbooks.pub/dataanalyticsvls1/en_US
dc.rightsCC BY | https://creativecommons.org/licenses/by/4.0/en_US
dc.titleData Analytics and Decision Makingen_US
dc.typeBooken_US
dcterms.accessRightsOpen Accessen_US
dcterms.accessRightsOpen Access-
dcterms.educationLevelUniversity - Graduate & Post-Graduateen_US
dc.identifier.slughttps://openlibrary.ecampusontario.ca/catalogue/item/?id=c2890b91-4859-414a-965d-2cb4d8560905-
dc.rights.holderOffice of Open Learning, University of Windsor | openlearning@uwindsor.caen_US
ecO-OER.AdoptedYesen_US
ecO-OER.AncillaryMaterialNoen_US
ecO-OER.InstitutionalAffiliationUniversity of Windsoren_US
ecO-OER.ISNI0000 0004 4910 2745en_US
ecO-OER.ReviewedNoen_US
ecO-OER.AccessibilityStatementYesen_US
ecO-OER.ORCID0000-0002-9981-4412en_US
ecO-OER.ORCID0000-0002-4042-1403en_US
lrmi.learningResourceTypeInstructional Object - Video Asseten_US
lrmi.learningResourceTypeAssessment - Self-Assessment/Practiceen_US
lrmi.learningResourceTypeLearning Resource - Textbooken_US
ecO-OER.POD.compatibleNoen_US
dc.description.abstractData 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.otherBusiness & Economy - Business Managementen_US
dc.subject.otherEngineeringen_US
dc.subject.otherSciences - Mathematics & Statisticsen_US
dc.subject.otherTechnology - Computer Scienceen_US
ecO-OER.VLS.projectIDWIND-1130en_US
ecO-OER.VLS.CategoryDigital Content - Create a New Online Courseen_US
ecO-OER.VLSYesen_US
ecO-OER.CVLPNoen_US
ecO-OER.ItemTypeTextbooken_US
ecO-OER.MediaFormatCommon Cartridgeen_US
ecO-OER.MediaFormateBooken_US
ecO-OER.MediaFormatHTML/XMLen_US
ecO-OER.MediaFormatOffice applicationsen_US
ecO-OER.MediaFormatPDFen_US
ecO-OER.VLS.cvlpSupportedNoen_US
Appears in Collections:Ontario OER Collection
VLS Collection

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WIND-1130 Data Analytics_Accessibility Report.docx%%acc%% Accessibility Review: WAVE 3.4.6 (Microsoft Word)820.22 kBMicrosoft WordView/Open


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