Data Analytics and Decision Making
Publisher: eCampusOntario Open Authoring Platform; Pressbooks
Published: 2022-02-28
Language: eng
Format: Ebook
Copyright date: 2022 Ali AbdulHussein
Subjects: Data science and analysis: general; Business and management; Engineering: general; Probability and statistics
Description: <p><span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">Data</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">analytics</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">is</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">a</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">rapidly</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">evolving</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">field. In today&#8217;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, &#8220;a new online course&#8221; if you will, focuses on </span><span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">three key concept areas: data acquisition, data processing, and decision-</span><span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">making models. In this course, students will be able to develop advanced</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">knowledge and skills to acquire related data for operations of business or</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">projects; apply quantitative literacy skills such as statistics and machine</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">learning; and use predictive or prescriptive modeling to make timely,</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">actionable,</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">and</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">meaningful</span> <span class="NormalTextRun SCXW31113177 BCX0" data-ccp-parastyle="Table Paragraph">decisions.</span></p>

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.