CRN 82183
Duration
Fri Feb 22 - Fri Mar 29 6 Weeks
Class Meeting Times
| Dates | Days | Times | Locations |
| Feb 22 - Mar 29 | Fri | 18:00 - 21:00 | DTC Rm. 389 |
Instructor
Gordon Hamilton
Course Outline
TBD – see Learning Outcomes in the interim
Cost
$372.00
COMP 3839 - Data Quality Improvement
Computer Systems Part-time Studies Course
School of Computing and Academic Studies
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, COMP 4680 and COMP 4681.
Prerequisite(s)
Credits
1.5
Cost
$372.00
Winter 2019
Below are two offerings of this course for the Winter 2019 term.
CRN 84217
Duration
Fri Jan 11 - Fri Feb 15 6 Weeks
Class Meeting Times
| Dates | Days | Times | Locations |
| Jan 11 - Feb 15 | Fri | 18:00 - 21:00 | DTC Rm. 389 |
Instructor
Gordon Hamilton
Course Outline
Cost
$372.00
Status
This course offering is in progress. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
In Progress
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
COMP 3839 is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Data Analytics
Part-time Certificate - Applied Database Administration and Design
Part-time Associate Certificate - Computer Systems
Part-time Diploma
Books & Supplies
The BCIT bookstore carries textbooks, general reference books, software, and stationery. Please visit bcit.ca/bookstore for more information.
Winter 2019
Books for Winter 2019 offerings of this course are available in the following BCIT online bookstores. Please choose the bookstore appropriate for the offering you are considering.
BCIT Downtown Campus Bookstore
If you are taking this course at the BCIT Downtown Campus (DTC), please purchase books for this course at the BCIT Downtown Campus Bookstore.
| Practitioner's Guide To Data Quality Improvement | |
|---|---|
| Author | Loshin |
| Publisher | Acad |
| Copyright | 2010 |
| Binding | Paperback |
| ISBN | 978-0-12373-717-5 |
| Price | $102.95 |
| Required | |
Contact Us
If you have a comment or question about this course, please complete and submit the form below.
Subscribe
Interested in being notified about future offerings of COMP 3839 - Data Quality Improvement? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.