Course Overview
This course will introduce students to the concepts and techniques of data quality management (DQM) using the Python programming language. Students will learn how to use Anaconda and Python libraries most suited for DQM, such as pandas, NumPy, seaborn, and SciPy. They will learn how to assess data quality, identify data anomalies, and develop strategies for improving data quality. Students will have the opportunity to work with real-world datasets and build hands-on skills in data quality management using Python.
Prerequisite(s)
- 50% in BABI 3005
Credits
2.0
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Outline the importance of current data quality management strategy and its impact on business outcomes.
- Use current Python libraries such as pandas, NumPy, and SciPy for DQM tasks.
- Develop strategies for data quality assessment and anomaly detection using existing Python tools.
- Apply contemporary data cleaning and transformation techniques to improve data quality in business.
- Apply current statistical techniques for analyzing data quality in the real world.
- Develop custom DQM tools for IT organizations using Python programming.
- Use best practices for data quality management in real-world scenarios.
Effective as of Winter 2025
Related Programs
DQM with Python (BABI 4005) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Business + Media
- Business Data Management
Associate Certificate Part-time
- Business Information Technology Management (Analytics Data Management Option)
Diploma Full-time
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.