Business Analytics
Timeline
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October 19, 2020Experience start
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October 27, 2020Project Scope Meeting
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November 19, 2020Midway check in
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December 4, 2020Experience end
Timeline
-
October 19, 2020Experience start
-
October 27, 2020Project Scope Meeting
Meeting between students, educator, and company to confirm: project scope, communication styles, and important dates in this week (Oct 26th-30th).
-
November 19, 2020Midway check in
Students to (informally) report on work progress, outline any outstanding challenges. Educator will communicate with employer via email, to address any potential issues.
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December 4, 2020Experience end
Experience scope
Categories
Accounting Data analysis Market research Marketing strategySkills
business analytics data analysis research human resource analytics marketing analyticsAre you looking for students to work on a data analytics project, related to your business?
Our students from the University of Saskatchewan are looking to complete a quantitative analysis of any aspect of your business, and provide you with insights and recommendations derived from your company's data.
Students are trained in Business Analytics, and have developed skills and tools for analysing the complexities of todayβs competitive business environment to inform management decisions.
Students
The exact deliverable will depend on your company's outlined problem.
Students will create a report and a high level presentation of their work findings. The top student groups will get to present their findings either in an online presentation or as a pre-recorded videos.
Project timeline
-
October 19, 2020Experience start
-
October 27, 2020Project Scope Meeting
-
November 19, 2020Midway check in
-
December 4, 2020Experience end
Timeline
-
October 19, 2020Experience start
-
October 27, 2020Project Scope Meeting
Meeting between students, educator, and company to confirm: project scope, communication styles, and important dates in this week (Oct 26th-30th).
-
November 19, 2020Midway check in
Students to (informally) report on work progress, outline any outstanding challenges. Educator will communicate with employer via email, to address any potential issues.
-
December 4, 2020Experience end
Project Examples
Requirements
Student skill include but are not limited to the following:
- Data extraction from different data sources, including databases and other data analysis software.
- Data preparation including cleansing, reorganizing, and manipulating data (using, for example, R).
- Explorative data analysis and data visualization to discover patterns associated with products, business processes, services, customers, and the external environment (using, for example, Tableau and R).
- Model-based data analysis, including classification, clustering, and association to support decision making.
Students are able work on either some or all of the aspects as outlined above. This will depend on your company's needs/the scope of the project.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
October 19, 2020Experience start
-
October 27, 2020Project Scope Meeting
-
November 19, 2020Midway check in
-
December 4, 2020Experience end
Timeline
-
October 19, 2020Experience start
-
October 27, 2020Project Scope Meeting
Meeting between students, educator, and company to confirm: project scope, communication styles, and important dates in this week (Oct 26th-30th).
-
November 19, 2020Midway check in
Students to (informally) report on work progress, outline any outstanding challenges. Educator will communicate with employer via email, to address any potential issues.
-
December 4, 2020Experience end