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Data Science Project

STA490Y1
Closed
University of Toronto
University of Toronto
Toronto, Ontario, Canada
Alison Gibbs
Professor, Teaching Stream
3
Timeline
  • November 24, 2019
    Experience start
  • February 1, 2020
    Project check in
  • March 28, 2020
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis
Skills
data analytics consulting storytelling and data visualization data analysis
Learner goals and capabilities

As part of the Applied Statistics specialist program, all students complete a data analysis in collaboration with a group or organization. We are looking for companies or organizations with rich data and interesting questions to work with our students. A group of 10-20 4th year Statistics students, led by a senior PhD student, would work with you to extract meaningful information from your data.

Learners

Learners
Undergraduate
Any level
80 learners
Project
50 hours per learner
Learners self-assign
Teams of 10
Expected outcomes and deliverables

Students will complete individual analyses and reports. This will include a written non-technical report, derived data sets, if any, and R code used for the analyses. The top projects will be provided to the company or organization.

Project timeline
  • November 24, 2019
    Experience start
  • February 1, 2020
    Project check in
  • March 28, 2020
    Experience end

Project Examples

Requirements

Depending on the data you have available and the questions that are of interest to you, students could work on:

  • Determining the important factors that influence trends or outcomes.
  • Predicting trends.
  • Identifying anomalies or unusual events.
  • Detecting structures in data, such as observations that cluster based on similar characteristics.

Additional company criteria

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

    Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

  • question

    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.

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