Spring 2022 Data Mining & Analytics
General
- Diploma; 2nd year
- 4 learners; teams of 3
- 30 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 2/4 project matches
- Anywhere
- Academic experience
- Any
- Any industries
Categories
Skills
Project timeline
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February 4, 2022Experience start
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February 8, 2022Project Scope Meeting
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March 5, 2022First Draft of the Project
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March 22, 2022Final presentation
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April 15, 2022Experience end
Timeline
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February 4, 2022Experience start
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February 8, 2022Project Scope Meeting
Students will meet with a representative from the company and will learn what their expectations are for their final project. This can be done remotely or in person.
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March 5, 2022First Draft of the Project
Based on the information that you provide, students will submit a comprehensive analysis roadmap to propose solutions and implementation strategies to address a managerial issue.
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March 22, 2022Final presentation
Students will present their final report which will include the patterns identified in the data set, their analysis as well as actionable implementation strategies.
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April 15, 2022Experience end
Overview
- Details
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How is your business handling business analytics? Students at Langara College will act as consultants using Data Mining to help identify patterns in your organization's data. Data Mining for Business Analytics is becoming one of the fastest-growing areas to help scale your business. A group of student-consultants at Langara College will analyze data sets using state-of-the-art technologies to identify trends and submit recommendations based on predictive models that can enhance decision-making in your organization.
- Learner skills
- Business analysis, Machine learning, Data analytics, Programing, Research
- Deliverables
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Final deliverables will include:
- A slide deck with conclusions and recommendations for a 15-minute consulting presentation.
- A written report with details of the predictive models that were developed, including insights and overall recommendations that are inferred from such models.
- All applicable source code.
Project Examples
A class of student-consultants will spend an entire semester performing a thorough investigation of data sets to tackle a managerial question. Tools such as Tableau and Python packages will be leveraged for data modeling, machine learning, and visualization.
Based on the information that you provide, groups will develop predictive models and managerial insights into key aspects of your organization. Each team will propose solutions and implementation strategies to improve your decision-making processes and outcomes.
Example projects 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.
- Determine sales trends.
- Accurately predict customer behaviors.
- Improve new customer acquisition.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Be available for a quick phone call with the organizer to initiate your relationship and confirm your scope is an appropriate fit for the experience.
Be available for an introductory session at the beginning of the project (in person or virtual).
Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address students questions or provide additional information.
Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).
Provide students with the data necessary to conduct their data mining analysis.