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BCIT

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. All 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)

COMP 1630

Credits

1.5

Cost

$387.08

Fall 2020

Below is one offering of this course for the Fall 2020 term.

CRN 41646

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

Cost

$387.08

Notes

  1. Departmental approval needed
  2. 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.

1 seat remaining as of Oct 24, 2020 5:08 pm (PDT). Availability may change at any time.

Winter 2021

Below are two offerings of this course for the Winter 2021 term.

CRN 84217

Fri Jan 08 - Fri Feb 12 6 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 08 - Feb 12 Fri 18:00 - 21:00 Online Delivery
See Notes below

Instructor

Gordon Hamilton

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$387.08

Notes

  1. Departmental approval needed
  2. 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. Please sign in to the Learning Hub on the course start date for details on how the course will be delivered online.

A portion of seats are temporarily held for domestic students. International students: this may impact your ability to register. Learn why.

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This section is only available for registration starting Wed, Oct 28 at 9:00 am (PDT)

Sneak Preview

CRN 82183

Fri Feb 19 - Fri Mar 26 6 Weeks

Class Meeting Times

Dates Days Times Locations
Feb 19 - Mar 26 Fri 18:00 - 21:00 Online Delivery
See Notes below

Instructor

Gordon Hamilton

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$387.08

Notes

  1. Departmental approval needed
  2. 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. Please sign in to the Learning Hub on the course start date for details on how the course will be delivered online.

A portion of seats are temporarily held for domestic students. International students: this may impact your ability to register. Learn why.

}

This section is only available for registration starting Wed, Oct 28 at 9:00 am (PDT)

Sneak Preview

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

  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 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

Winter 2021

No information on books is currently available for Winter 2021 offerings of this course.

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Contact Information

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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). BCIT will use this information to communicate with you regarding relevant BCIT programs, courses and services. This information is only used by authorized BCIT staff. Email communication sent to and from BCIT is routed through the United States of America. If you have any questions about BCIT's collection and use of this information, please contact BCIT’s manager of Information Access and Privacy.

Programs and courses are subject to change without notice.

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Registration News

Registration is currently open for the Fall 2020 term.

A sneak preview of Winter 2021 term courses is also now available here.

Students may register for Winter 2021 term courses online or by phone starting Wed, Oct 28 at 9:00 am (PDT).

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