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Capstone Project | Data Analytics | DANA4850
DANA4850
Students who enrolled in the DANA program would typically take courses within 4 semesters. Some students would take final 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.
2024 Spring Data Mining for Data Analytics
CPSC 4830
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.
Visualization for Data Analytics
CPSC 4820
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.