Data Analytics


Timeline
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January 10, 2019Experience start
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January 18, 2019Project Scope Meeting
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March 2, 2019Midway Check In
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April 2, 2019Experience end
Timeline
-
January 10, 2019Experience start
-
January 18, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
Data should be provided to the students. -
March 2, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
April 2, 2019Experience end
Experience scope
Categories
Social sciencesSkills
data analytics research analysisStudents 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
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:
- Complete the data analysis;
- Write a report summarizing their analysis and findings;
- Present their findings in front of the class.
All proprietary company information will remain confidential at all times.
Project timeline
-
January 10, 2019Experience start
-
January 18, 2019Project Scope Meeting
-
March 2, 2019Midway Check In
-
April 2, 2019Experience end
Timeline
-
January 10, 2019Experience start
-
January 18, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
Data should be provided to the students. -
March 2, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
April 2, 2019Experience end
Project Examples
Requirements
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:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
January 10, 2019Experience start
-
January 18, 2019Project Scope Meeting
-
March 2, 2019Midway Check In
-
April 2, 2019Experience end
Timeline
-
January 10, 2019Experience start
-
January 18, 2019Project Scope Meeting
Meeting between students and organization to confirm: project scope, communication styles, and important dates.
Data should be provided to the students. -
March 2, 2019Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
April 2, 2019Experience end