Data Forecasting to Predict Future Trends

STAT 370
Closed
MacEwan University
Edmonton, Alberta, Canada
Experiential Learning Facilitator
(256)
4
Timeline
  • September 7, 2022
    Experience start
  • September 15, 2022
    Students select projects and community partners are informed of a match.
  • September 20, 2022
    Initial meeting between students and community partners
  • November 1, 2022
    Preliminary report meeting
  • November 29, 2022
    Final presentations
  • December 10, 2022
    Experience end
Experience
6 projects wanted
Dates set by experience
Preferred companies
Canada
Any
Any industries

Experience scope

Categories
Data visualization Data analysis
Skills
ux design data visualization data analysis research
Learner goals and capabilities

No-fee help to analyze time-related data to make future predictions and inform strategic decision-making.

Working with small teams, student consultant(s) in a third year Statistics course will work with organizations to design and complete a specified project over 13 weeks.

Learners

Learners
Undergraduate
Any level
6 learners
Project
30 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables

The community partner organization will receive their final project deliverable by the end of the fall 2022 term. This will include a report with a graph, identifying trends and predictions.

Project timeline
  • September 7, 2022
    Experience start
  • September 15, 2022
    Students select projects and community partners are informed of a match.
  • September 20, 2022
    Initial meeting between students and community partners
  • November 1, 2022
    Preliminary report meeting
  • November 29, 2022
    Final presentations
  • December 10, 2022
    Experience end

Project Examples

Requirements

Important to Note

Community partners will be required to provide recorded data ahead of time to Laura Sinclair, no later than Friday, August 5th, 2022.

- Data needs to include a minimum of 35 data points in sequential order

- Data should depend on time

Examples of Suitable Project Topics

· A retail business interested in forecasting inventory requirements to stock inventory to meet consumer demand

· A retail business looking to predict seasonal sales revenue

· A retail business interested in forecasting product sales in units sold each day for their store

· A restaurant interested in forecasting the number of visitors who sit down or take out food from their establishment

· A festival looking to forecast crowd numbers at certain times of the days

· An organization looking to predict the numbers of car accidents, injuries and fatalities in a specific city/province

· A transportation company interested in forecasting weather patterns to reduce the loss of vehicle hours due to weather-related congestion

· A healthcare organization interested in predicting disease progression to estimate mortality rate

· A business interested in predicting the trend of certain stocks to design a balanced portfolio

Additional company criteria

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

Community partners will be required to provide recorded data no later than August 30, 3022. - Data needs to include a minimum of 100 data points in sequential order - Data should depend on time

Availability to meet with your student consultant at least three times throughout the term

Prompt response when feedback is required (48 hours)

Available for final presentations.

Willingness to complete the following Google Form: https://forms.gle/rmwXEunydDFYaKnE6