Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1477
Title: Data Analytics and Decision Making
Authors: AbdulHussein, Ali
Fujita, Nobuko
Teplovs, Chris
Arora, Sakshi
Tambe, Shreyas
Carnevale, Patrick
Fujita, Nobuko
Issue Date: 28-Feb-2022
Publisher: University of Windsor
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.
URI: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/1477
Other Identifiers: c2890b91-4859-414a-965d-2cb4d8560905
Appears in Collections:Ontario OER Collection
VLS Collection

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