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Data Science Insights

STA130H1
Closed
University of Toronto
University of Toronto
Toronto, Ontario, Canada
Alison Gibbs
Professor, Teaching Stream
3
Timeline
  • March 4, 2019
    Experience start
  • March 12, 2019
    Introduction to Project
  • March 23, 2019
    Midway Check In
  • April 2, 2019
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Toronto, Ontario, Canada
Any company type
Any industries
Categories
Data analysis
Skills
data exploration and manipulation storytelling and data visualization data analysis
Learner goals and capabilities

Would you like to translate data into actionable insight? In this project, students will use a data set and questions of interest provided by your organization to perform data exploration, visualization, statistical modelling, and inference to learn from your data. They will provide you with a summary of their findings and insights to answer your questions.

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

Each team will prepare a poster presentation summarizing the results of their data explorations and analyses and will deliver a 5 minute presentation to course instructors at a poster fair. Top submissions will be filmed for your review.

The entire class will work in groups of 4 to complete this project, but only the top 2-5 poster presentations will be shared with you for assessment.

Project timeline
  • March 4, 2019
    Experience start
  • March 12, 2019
    Introduction to Project
  • March 23, 2019
    Midway Check In
  • April 2, 2019
    Experience end
Project Examples

Students will use your questions and goals to guide their exploration of the data. Project objectives include, but are not limited to:

  • Visualizing the data.
  • Finding patterns and anomalies in the data.
  • Identifying groups and differences, if they exist.
  • Finding/examining relationships.
  • Making predictions.

You can provide internal data, or ask that students examine publicly available data that is relevant to your industry/customers. The only project requirement is that you have questions you want answered about the data.

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

Visit class at project launch for a short kick-off presentation, or prepare a short video introduction.

Visit project fair on April 1 to interact with top students about their findings, or review recorded presentations of top teams.

Provide or direct students to a data set of your choosing for analysis.

Be available for a quick phone call with the instructor to initiate your relationship and confirm that your scope is an appropriate fit for the course.

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