Course details
Continuing on from COMP 1630 this course is aimed at students who already understand relational database, data modeling and the importance of improving Data Quality (DQ). Survey topics include the business impact of DQ, data profiling techniques, DQ capability/maturity models, Data Governance, DQ improvement roadmaps and approaches to gaining executive support for the DQ improvement program. In class labs, homework assignments and a project focus on how to use Data Quality techniques and tools. Successful participants learn how to apply a data quality framework to data migration projects and are better prepared to move on to the specific Business Intelligence Analytic tools covered in: COMP 4679 and COMP 4681.
Prerequisite(s)
- 60% in COMP 1630
Credits
1.5
Cost
$385.06
Course offerings
Winter 2023
Below are two offerings of COMP 3839 for the Winter 2023 term.
CRN 82183
Duration
Fri Feb 24 - Fri Mar 31 (6 weeks)
- 6 weeks
- CRN 82183
- $385.06
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Feb 24 - Mar 31 | Fri | 18:00 - 21:00 | Online |
Instructor
Gordon Hamilton
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$385.06
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours synchronous online classes. Late registration is not permitted.
Status
CRN 84217
Duration
Fri Jan 13 - Fri Feb 17 (6 weeks)
- 6 weeks
- CRN 84217
- $385.06
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Jan 13 - Feb 17 | Fri | 18:00 - 21:00 | Online |
Instructor
Gordon Hamilton
Course outline
Cost
$385.06
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours synchronous online classes. Late registration is not permitted.
Status
In Progress and Full
This course offering is in progress and full. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Define the business value and goals of Data Quality (DQ) improvement.
- Measure the DQ of data sets with data profiling to establish baselines for improvement.
- Use simple statistical measures for analyzing DQ at columnar, record and table levels.
- Assess business process capabilities through the DQ of their data sets.
- Discuss DQ root causes and prioritize mitigation for discovered DQ issues.
- Document data flows using simple process diagrams and SIPOCs (Suppliers, Inputs,Process, Outputs, and Customers).
- Integrate data quality improvement initiatives into development projects such as data warehouses, data migration and upgrades.
- Outline how to connect data stewardship to long term data governance.
Effective as of Fall 2015
Related Programs
Data Quality Improvement (COMP 3839) is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
- Applied Database Administration and Design
Associate Certificate Part-time
- Computer Systems
Diploma Part-time
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