Data Mining and Analytics COMP 8575

Computer Systems Part-time Studies Course

Notices

Registration news

Registration is now open for the Fall 2022 term.

Classroom locations

Classroom locations are subject to last-minute changes. Please check the Part-time Studies classroom locations listing on the first day of your course.

Part-time Studies financial aid

Will you be studying at BCIT part time? Do you need assistance funding your studies? Find out if you qualify for Part-time Studies financial aid.

English language proficiency

BCIT’s Part-time Studies English Language Proficiency Standard is English 12 (or equivalency). Students who do not meet this requirement should upgrade their English skills prior to any future registration.

Payment options at BCIT

We’ve changed the way we accept payments.

Find out more.

Course 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.

Prerequisite(s)

60% in COMP 8071

Credits

3.0

Not offered this term: This course is not offered this term through BCIT Part-time Studies. Please check back next term or subscribe to receive email updates.

Learning Outcomes

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

Related Programs

Data Mining and Analytics (COMP 8575) is offered as a part of the following programs:

School of Computing and Academic Studies

Computer Systems (Database Option)
Bachelor of Technology Part-time
Computer Systems (Human Computer Interface Option)
Bachelor of Technology Part-time

Contact Us

If you have a question or comment about this course, please complete and submit the form below.

Name * Required
Email * Required
Phone * Required
Questions or Comments * Required
CAPTCHA
Privacy Notice: The information you provide will be used to respond to your request for BCIT program information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5G 3H2, email: privacy@bcit.ca.
Email
This field is for validation purposes and should be left unchanged.

Programs and courses are subject to change without notice.