- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
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. COMP 3839 is a required course in the Applied Database Administration and Design (ADAD) Associate Certificate; the Applied Data Analytics Certificate (ADAC) and an elective in the Computer Systems Technology (CST FLEX) Diploma. Successful participants learn how to apply a data quality framework to data migration projects and are better prepared to move on to higher-level Data and Business Intelligence Analytics courses.
Prerequisite(s)
- 60% in COMP 1630
Credits
1.5
Domestic fees
$405.58 - $424.15 See individual course offerings below for actual costs.
Course offerings
Spring/Summer 2024
Below are two offerings of COMP 3839 for the Spring/Summer 2024 term.
CRN 64675
Duration
Fri May 24 - Fri Jun 28 (6 weeks)
- 6 weeks
- CRN 64675
- Domestic fees $424.15International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| May 24 - Jun 28 | Fri | 18:00 - 21:00 | Downtown DTC Rm. 389 |
Instructor
Gordon Hamilton
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Domestic fees
$424.15
Important information
- Departmental approval needed
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
!--CSR: DO NOT register students in this course if the approval has expired. Questions, email cstflex@bcit.ca--> Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours on campus. Late registration is not permitted.
Status
CRN 63401
Duration
Fri Apr 12 - Fri May 17 (6 weeks)
- 6 weeks
- CRN 63401
- Domestic fees $405.58International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 12 - May 17 | Fri | 18:00 - 21:00 | Online |
Instructor
Gordon Hamilton
Course outline
Domestic fees
$405.58
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.
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
Please email cstflex@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:
- Indicates programs accepting international students.
- Indicates programs with a co-op option.
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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Programs and courses are subject to change without notice.