Monica Nguyen
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Location
Vancouver, British Columbia, Canada
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Data visualization Data analysis Data modelling Machine learning Data science

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Langara College
Langara College
Vancouver, British Columbia, Canada

Spring 2025 Capstone Project | Data Analytics | DANA4850

DANA4850

Flexible

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.

Matches 1
Category Artificial intelligence + 4
Open Closing on January 1, 2025
Langara College
Langara College
Vancouver, British Columbia, Canada

Capstone Project | Data Analytics | DANA4850

DANA4850

May 6, 2024 - Aug 3, 2024

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.

Matches 5
Category Artificial intelligence + 4
Closed