BCIT is planning for a substantial return to on-campus activity for the fall 2021 term as informed by BC Public Health Officer guidelines. Refer to each course listing for details.
This course is focused on incorporating data mining and integrating data analytics frameworks to database systems, data warehouses and big data infrastructures. Approaches for mining correlations, associations and other data patterns are studied. Clustering, classification and regression implementations are integrated with the data systems. Database applications utilizing charts, maps and AR/VR augmented data visualization to support visual analytics are developed.
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Upon successful completion of this course, the student will be able to:
Apply descriptive, predictive and prescriptive analytics for business intelligence purposes.
Use SQL and its extensions as well as statistical functions provided natively by the underlying data warehouses and big data solutions to determine basic statistical description of data.
Apply data clustering and regression techniques supplied by popular off-the-shelf business intelligence solutions to conduct predictive analysis.
Integrate data clustering approaches such as K-Means / NN, Bayesian Classifier, Decision Tree as well as regression techniques including neural nets to the data warehouses and big data storage.
Implement and integrate prescriptive analytics to optimize business decisions.
Integrate libraries supporting plots, charts and maps with database applications to support custom visual analytics needs of business intelligence.
Describe data and expose any coherence, correlations and/or trends among data values through suitable visual representations for visual analytics purposes.
Generate 3D models and AR/VR augmented representations of data using 3D modeling tools and AR/VR platforms to evaluate efficacy of such data visualization approaches for business intelligence and decision making.
Effective as of Fall 2019
COMP 8575 is offered as a part of the following programs:
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