Lindenwood University
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Data Analytics

Econ818
Closed
Main contact
Simon Fraser University (SFU)
Simon Fraser University (SFU)
Vancouver, British Columbia, Canada
Bertille Antoine
Bertille Antoine
Associate Professor
1
Timeline
  • January 10, 2019
    Experience start
  • January 18, 2019
    Project Scope Meeting
  • March 2, 2019
    Midway Check In
  • April 2, 2019
    Experience end
Experience
10 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Social sciences
Skills
data analytics research analysis
Learner goals and capabilities

Students spend approximately 2-3 months analyzing historical data using a variety of analysis methods. The results can provide in-depth insights into the history of your business, its growth, and its future with forecasting exercises. Project requires access to historical data that is already organized (e.g. excel) and ready to use; the different variables are consistently observed over time for at least 60 consecutive time periods (e.g. 60 months or about 5 years; 60 weeks).

Learners

Learners
Any level
10 learners
Project
80 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables

The students will clearly identify the challenges/research question the organization is facing, uncover the root cause of the identified challenges, propose viable solution(s), and recommend the best course of action using appropriate metrics and data analysis.

More specifically, the students will:

  1. Complete the data analysis;
  2. Write a report summarizing their analysis and findings;
  3. Present their findings in front of the class.

All proprietary company information will remain confidential at all times.

Project timeline
  • January 10, 2019
    Experience start
  • January 18, 2019
    Project Scope Meeting
  • March 2, 2019
    Midway Check In
  • April 2, 2019
    Experience end

Project examples

Projects can include, but are not limited to:

  • Understanding buyers and buying habits over time,
  • Understanding profitability, retention, referrals, and attrition rates for your customers over time,
  • Optimizing product design based on data results,
  • Determining which internal investments make the most sense over time,
  • Developing predictive sales model, etc.

Past projects:

  • Estimating profit functions for Canadian Residential Real Estate Investment Trusts;
  • Investigating the relationship between Exchange Rates and Canadian stock prices;
  • Developing and testing asset pricing models;
  • Analyzing historical sales data and developing a model to forecast future sales and profits;
  • Analyzing sales reorder in order to optimize inventory.

Additional company criteria

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

  • Q1 - Checkbox
    Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.
  • Q2 - Checkbox
    Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
  • Q3 - Checkbox
    Provide "clean" data in a convenient format (e.g. excel) that can be easily accessed by the students to conduct their analysis.