W25_Data_Analytics_Capstone_Project
BUSN10225
Open
Closing on February 22, 2025
Hamilton, Ontario, Canada
Timeline
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February 25, 2025Experience start
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March 4, 2025Project Scope Meeting and Business Understanding
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March 11, 2025Data Understanding/Data Preparation
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March 25, 2025Modeling
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April 19, 2025Project Evaluation and/or Deployment and Final Report
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April 19, 2025Experience end
Timeline
-
February 25, 2025Experience start
-
March 4, 2025Project Scope Meeting and Business Understanding
- Meeting between students and company to confirm project scope, communication styles, and important dates.
- Students should complete the first phase of CRISP-DM which includes understanding the business goals and objectives.
-
March 11, 2025Data Understanding/Data Preparation
- Following the CRISP-DM methodology, students should generate documentation on data understanding for the data assets available, provided, or to be gathered.
- Documentation should also be provided on the data preparation steps utilized to prepare the data for further analysis.
-
March 25, 2025Modeling
Following the CRISP-DM methodology, students should generate documentation outlining the intended/exercised data modeling technique used on the data to generate insight and recommendations.
-
April 19, 2025Project Evaluation and/or Deployment and Final Report
- Following the CRISP-DM methodology, students should generate documentation on the evaluation of the model and results, along with the outcomes of deployment of the model on production data.
- Any presentation materials and generated reports should be ready for presentation.
-
April 19, 2025Experience end
Experience
4/10 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Experience scope
Categories
Databases Data visualization Data analysis Data modelling Data scienceSkills
data extraction data modeling data analysis data storytelling business analytics financial analytics predictive modeling predictive analytics business intelligence data modeling business intelligence reportingIs your organization short on manpower for a given data analysis project? Are you a firm that is looking to explore the value of data analytics? Students in the Mohawk College analytics program are trained in data extraction and transformation as well as data preparation, data modeling and reporting on pre-existing data gathered by the organization. These students will work with your organization to analyze data sets and provide any recommendations they may have as a result of the analysis.
Learners
Learners
Post-graduate
Beginner, Intermediate levels
65 learners
Project
42 hours per learner
Learners self-assign
Teams of 5
The final project deliverable will include:
- A 10 to 20-page report outlining the work they performed, any analysis they conducted including visualizations and any recommendations they may have as a result of analysis.
- A 20-minute presentation of the project and results to the industry partner and classmates.
Project timeline
-
February 25, 2025Experience start
-
March 4, 2025Project Scope Meeting and Business Understanding
-
March 11, 2025Data Understanding/Data Preparation
-
March 25, 2025Modeling
-
April 19, 2025Project Evaluation and/or Deployment and Final Report
-
April 19, 2025Experience end
Timeline
-
February 25, 2025Experience start
-
March 4, 2025Project Scope Meeting and Business Understanding
- Meeting between students and company to confirm project scope, communication styles, and important dates.
- Students should complete the first phase of CRISP-DM which includes understanding the business goals and objectives.
-
March 11, 2025Data Understanding/Data Preparation
- Following the CRISP-DM methodology, students should generate documentation on data understanding for the data assets available, provided, or to be gathered.
- Documentation should also be provided on the data preparation steps utilized to prepare the data for further analysis.
-
March 25, 2025Modeling
Following the CRISP-DM methodology, students should generate documentation outlining the intended/exercised data modeling technique used on the data to generate insight and recommendations.
-
April 19, 2025Project Evaluation and/or Deployment and Final Report
- Following the CRISP-DM methodology, students should generate documentation on the evaluation of the model and results, along with the outcomes of deployment of the model on production data.
- Any presentation materials and generated reports should be ready for presentation.
-
April 19, 2025Experience end
Project Examples
Requirements
Beginning in February 2025, students in groups of 1-5 will spend 42+ hours spread over 7-8 weeks assisting your company by providing analytical research and recommendations tailored to one of your company’s data opportunities or challenges.
Students may work with the company in one of three ways:
- Assist organizations in data gathering research and/or prepare data for future use by the organization. Students can help design and model databases to gather and store data for future analysis.
- Assist organizations in preparing existing data for analysis. Students may perform data quality checks, data cleaning, and data transformation exercises on existing data to ready data for analysis by the organization.
- Assist organizations in data analysis. Using organizational data, students may conduct data analysis and design data analytics reports to be delivered to the firm.
Project examples include but are not limited to:
- Analysis of customer segmentation relative to different products and services, to enhance marketing campaigns and refocus your products/services.
- Investigate predictive models to understand trends in sales, attrition rates, and profits that impact your business.
- Propose new ways to visualize data through tables and plots that can provide new insights for managers.
Timeline
-
February 25, 2025Experience start
-
March 4, 2025Project Scope Meeting and Business Understanding
-
March 11, 2025Data Understanding/Data Preparation
-
March 25, 2025Modeling
-
April 19, 2025Project Evaluation and/or Deployment and Final Report
-
April 19, 2025Experience end
Timeline
-
February 25, 2025Experience start
-
March 4, 2025Project Scope Meeting and Business Understanding
- Meeting between students and company to confirm project scope, communication styles, and important dates.
- Students should complete the first phase of CRISP-DM which includes understanding the business goals and objectives.
-
March 11, 2025Data Understanding/Data Preparation
- Following the CRISP-DM methodology, students should generate documentation on data understanding for the data assets available, provided, or to be gathered.
- Documentation should also be provided on the data preparation steps utilized to prepare the data for further analysis.
-
March 25, 2025Modeling
Following the CRISP-DM methodology, students should generate documentation outlining the intended/exercised data modeling technique used on the data to generate insight and recommendations.
-
April 19, 2025Project Evaluation and/or Deployment and Final Report
- Following the CRISP-DM methodology, students should generate documentation on the evaluation of the model and results, along with the outcomes of deployment of the model on production data.
- Any presentation materials and generated reports should be ready for presentation.
-
April 19, 2025Experience end