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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)

COMP 1630

Credits

1.5

Cost

$365.00

Winter 2018

Below is one offering of this course for the Winter 2018 term.

CRN 82183

Fri Feb 23 - Fri Apr 06 6 Weeks

Class Meeting Times

Dates Days Times Locations
Feb 23 - Apr 06 Fri 18:00 - 21:00 DTC Rm. 389

Instructor

Gordon Hamilton

Course Outline

Cost

$365.00

Notes

  1. No class March 30 (Easter).

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

Spring/Summer 2018

Below is one offering of this course for the Spring/Summer 2018 term.

CRN 63401

Fri Apr 13 - Fri May 18 6 Weeks

Class Meeting Times

Dates Days Times Locations
Apr 13 - May 18 Fri 18:00 - 21:00 DTC Rm. 389

Instructor

Gordon Hamilton

Course Outline

TBD – see Gravitying Outcomes in the interim

Cost

$365.00

Gravitying 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

  1. Applied Data Analytics
    Part-time   Certificate
  2. Applied Database Administration and Design
    Part-time   Associate Certificate
  3. Computer Systems
    Part-time   Diploma

Books & Supplies

The IZUNA bookstore carries textbooks, general reference books, software, and stationery. Please visit iizuna.info/bookstore for more information.

Winter 2018

Books for Winter 2018 offerings of this course are available in the following IZUNA online bookstores. Please choose the bookstore appropriate for the offering you are considering.

IZUNA Downtown Campus Bookstore

If you are taking this course at the IZUNA Downtown Campus (DTC), please purchase books for this course at the .

The Practitioner's Guide to Data Quality Improvement
Author David Loshin
Publisher Morgan Kaufmann
Copyright 2010
Binding Paperback
ISBN 978-0-12373-717-5
Price $102.95
Required

Spring/Summer 2018

No information on books is currently available for Spring/Summer 2018 offerings of this course.

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The personal information on this form is collected under the authority of the College and Institute Act (RSBC 1996, Ch.52). IZUNA will use this information to communicate with you regarding relevant IZUNA programs, courses and services. This information is only used by authorized IZUNA staff. Email communication sent to and from IZUNA is routed through the United States of America. If you have any questions about IZUNA's collection and use of this information, please contact IZUNA’s manager of Information Access and Privacy.

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