COMP 3839 - Data Quality Improvement
Computer Systems Part-time Studies Course
School of Computing and Academic Studies
To support you and your education, BCIT is adapting applied learning in formats appropriate to the unfolding global situation. Spring and Summer PTS classes are being delivered in an online format unless you are notified otherwise.
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
$387.08
Fall 2020
Below are two offerings of this course for the Fall 2020 term.
CRN 43219
Duration
Fri Sep 18 - Fri Oct 23 6 Weeks
Class Meeting Times
| Dates | Days | Times | Locations |
| Sep 18 - Oct 23 | Fri | 18:00 - 21:00 | DTC Online Delivery |
Instructor
Gordon Hamilton
Course Outline
TBD – see Learning Outcomes in the interim
Cost
$387.08
Notes
- Departmental approval needed
- Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program declaration___. Late registration is not permitted.
Status
CRN 41646
Duration
Fri Oct 30 - Fri Dec 04 6 Weeks
Class Meeting Times
| Dates | Days | Times | Locations |
| Oct 30 - Dec 04 | Fri | 18:00 - 21:00 | DTC Online Delivery |
Instructor
Gordon Hamilton
Course Outline
TBD – see Learning Outcomes in the interim
Cost
$387.08
Notes
- Departmental approval needed
- Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program declaration___. Late registration is not permitted.
Status
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.
Fall 2020
Books for Fall 2020 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 |
| Optional | |
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