Data Analytics Virtual Capstone/Internship

DSCI495
Closed
Eastern Washington University
Cheney, Washington, United States
Professor, Decision Sciences (Analytics)
1
Timeline
  • June 15, 2020
    Experience start
  • June 23, 2020
    Project Scope Meeting
  • July 28, 2020
    Final deliverables
  • July 30, 2020
    Student Evaluation Forms
  • August 1, 2020
    Experience end
Experience
2/2 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Information technology Data analysis Operations Project management
Skills
problem solving data analytics data visualization big data business analytics
Learner goals and capabilities

Student consultants from the Data Analytics program at Eastern Washington University will help your organization implement and investigate strategies to predict and optimize processes through the use of data analytics techniques and tools. Students can uncover insights into challenges or opportunities specific to your organization.

Learners

Learners
Undergraduate
Any level
4 learners
Project
30 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

The final project deliverables may include, but are not limited to:

  • A written report outlining conclusions and recommendations.
  • Appendices supporting findings.
  • A team presentation to your organization explaining findings and recommendations.
  • Data files and models.
  • Data visualization dashboards.

Project timeline
  • June 15, 2020
    Experience start
  • June 23, 2020
    Project Scope Meeting
  • July 28, 2020
    Final deliverables
  • July 30, 2020
    Student Evaluation Forms
  • August 1, 2020
    Experience end

Project Examples

Requirements

A group of students will devote 120+ hours to solving a data-driven analytics challenges faced by your organization. Student(s) work may include:

1) Framing the problem.

2) Acquiring and managing large data sets.

3) Applying modern statistical techniques.

4) Identifying and implementing the necessary technology infrastructure.

5) Providing a sustainable management-level solution.

6) Providing data visualization dashboards.

Project examples include, but are not limited to:

  • Predictive analytics in e-commerce & retail: Which products/categories to market to a customer, given the customer profile?
  • Predictive analytics in investments & trading: Which stocks or securities to purchase following a sequence of events?
  • Pricing for new technology products & services: How to price a new tech product, based on competitive, customer, and transactional data?
  • Credit scores & ratings: How to assess the credit risk of a borrower, based on the borrower profile and meta data?
  • Financial fraud likelihood: What is the likelihood of fraud for a user attempting to access your personal finance solution?
  • Customer segmentation & targeting: What value to assign to a customer based on the past purchase and/or transactional data and customer profile?
  • Predictive analytics in Healthcare: Investigations of health insurance rates.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q - Checkbox
  • Q - Checkbox
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