Data Analytics Project
Timeline
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October 12, 2017Experience start
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October 27, 2017Project Scope Finalization
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November 10, 2017Midway Check In
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December 1, 2017Project Completion
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December 1, 2017Experience end
Timeline
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October 12, 2017Experience start
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October 27, 2017Project Scope Finalization
After initial discussions, the project scope, communication styles, and important dates should be agreed upon.
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November 10, 2017Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
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December 1, 2017Project Completion
The project should be finished and the students should have handed in their deliverable.
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December 1, 2017Experience end
Experience scope
Categories
Skills
business analytics data analysis data analytics data visualization data optimizationStudent-consultants will work with you organization to either research an analytics-based challenge/query OR implement a predetermined Data Analytics solution for your organization.
Learners
- 5-10 pages report outlining conclusions and recommendations.
- Team presentation to your organization.
- All generated data files, models, and code.
Project timeline
-
October 12, 2017Experience start
-
October 27, 2017Project Scope Finalization
-
November 10, 2017Midway Check In
-
December 1, 2017Project Completion
-
December 1, 2017Experience end
Timeline
-
October 12, 2017Experience start
-
October 27, 2017Project Scope Finalization
After initial discussions, the project scope, communication styles, and important dates should be agreed upon.
-
November 10, 2017Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
December 1, 2017Project Completion
The project should be finished and the students should have handed in their deliverable.
-
December 1, 2017Experience end
Project Examples
Requirements
Beginning this October, 5 students in groups of 1-3 will dedicate 300+ hours to develop a Data Analytics solution for your organization. They will use tools such as RDBMS or noSQL databases including mongoDB, Excel, and Tableau.
Based on your needs, students will either research OR implement an analytical solution for you.
Option 1: Research project
Students will research the challenge that you present to them and then compile a report that outlines the best course of action, including the reasoning behind that.
Examples:
- Analyze business processes to determine the best candidate for implementing a Data Analytics project.
- Determine what external factors affect business operations and the viable mitigating strategies.
- Measure the impact of data-driven decision making by analyzing the performance of different business processes/departments.
Option 2: Implementation project
Students will either implement a pilot project or form part of an ongoing implementation project which has pre-existing clearly defined goals and deliverables.
Examples:
- Build a dashboard for a department/audience.
- Analyze data to find patterns or to prove/disprove a hypothesis.
- Work as a part of a bigger implementation team to design/develop a Data Analytics solution.
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
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October 12, 2017Experience start
-
October 27, 2017Project Scope Finalization
-
November 10, 2017Midway Check In
-
December 1, 2017Project Completion
-
December 1, 2017Experience end
Timeline
-
October 12, 2017Experience start
-
October 27, 2017Project Scope Finalization
After initial discussions, the project scope, communication styles, and important dates should be agreed upon.
-
November 10, 2017Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
December 1, 2017Project Completion
The project should be finished and the students should have handed in their deliverable.
-
December 1, 2017Experience end