Capstone Project | Data Analytics | DANA4850
General
- Post-graduate; Capstone
- 20 learners; teams of 3
- 20 hours per learner
- Dates set by experience
- Educators assign learners to projects
Preferred companies
- 5/5 project matches
- Anywhere
- Academic experience
- Startup, Small to medium enterprise
- Business & management, Business services, Consumer goods & services, Cosmetics & beauty, Energy
Categories
Project timeline
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May 6, 2024Experience start
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June 8, 2024Phase 1
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June 22, 2024Phase 2
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August 3, 2024Phase 3
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August 3, 2024Experience end
Timeline
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May 6, 2024Experience start
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June 8, 2024Phase 1
Phase 1 - Explore technical issues and propose solutions. This is an important milestone for the whole project. More details related to the structure of this capstone course is attached.
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June 22, 2024Phase 2
Phase 2 - Implement solutions and test the results.
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August 3, 2024Phase 3
Phase 3 - Refine the results and compile reports for submissions to the capstone instructor and clients.
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August 3, 2024Experience end
Overview
- Details
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Students who enrolled in the DANA program would typically take courses within 4 semesters. Some students would take the fifth semester for gain more experience through a work term. The details of course per semesters are outlined on this page (https://langara.ca/programs-and-courses/programs/data-analytics/program-curriculum.html).
During their final semester (4th semester), students would take the Capstone Project course. Through the capstone projects, teams consisting of 3-4 students work collaboratively over a period of approximately 4 months to progressively develop solutions ranging from initial concepts to functional prototypes. Their efforts involve applying AI and various machine learning techniques to analyze diverse types of data such as numbers, images, and texts. Students possess programming skills in Python, R and SAS.
- Deliverables
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Companies acting as clients will hold all copyrights to the work produced by students and instructors. If there is a potential for peer-reviewed publications, capstone instructors will seek permission from the companies before publishing.
Deliverables typically consist of reports and codes submitted to the clients. However, the formats and programming languages may vary based on the clients' specific requirements.
Project Examples
Students and capstone instructors have developed a number of prototypes that help companies to improve their business operations and services, such as:
- Build predictive models capable of estimating the likelihood of object survival utilizing multiple machine learning algorithms, to predict outcomes;
- Create customer segmentation by analyzing individual personas, profiles, and behavioral patterns;
- Analyze data in the text format (customers’ feedback or reports) to find our topics of customers’ concerns;
- Customize recommendations are made based on multiple parameters;
- Analyze a wide variety of Key Performance Indicators (KPI) that allows for building correlations and models for enhanced predictions and continuous improvements;
- Object detection using various images.
Note that the DANA program strives to increase the employability of our students. Hence, this is a great opportunity for student to have their hands on working with datasets from the industries, such as healthcare, bio-informatics, and retails. I am more than happy to provide more details about the Capstone course as well as the DANA program, and perhaps discuss further your needs and how DANA can assist you in improving your business operations and services.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Do you have relevant data that can be used to solve your business problems?