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 |