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Course Description
This course is 42 learning hours inclusive of 4 hours of live sessions. It is recommended that students spend an average of 7 hours per week on this course.
The first course in the Certificate in Data Management for Professionals focuses on the fundamentals of data management, the types of information systems, and challenges of maintaining data quality. The course then examines data management practices and concludes with a lab on analyzing a dataset.
Course Outline
- Week 1: Orientation
- Week 2: What is data management? A discussion on Watson’s term “information satisficing”
- Week 3: The multiple dimensions of data quality, types of information systems and the challenges of maintaining data quality in diverse systems
- Week 4: Examining enterprise data management practices through the data life cycle and the analytics life cycle
What You Will Learn
- The foundations of data management
- The multiple dimensions of data quality and what they mean
- Different types of information systems
- Enterprise data management principles
Notes
By enrolling in this course, you will be automatically enrolled in the Certificate in Data Management for Professionals.The Faculty of Open Learning & Career Development recommends an intermediate level of English language proficiency for the most effective learning and participation in our online and face-to-face courses. A list of the minimum recommended scores on some common English tests can be found on our website. If you have questions about your English language proficiency and ability to succeed in this course, please contact openlearning@dal.ca.
Recommended For
- Professionals from accounting, sales and engineering who are involved in evaluating, implementing and/or using information management systems
- Industry workers from healthcare, manufacturing and finance who assess, apply, and/or employ information management systems
- Those with one to two years’ experience working with any enterprise information system (such as an ERP or data warehouse)
Applies Towards the Following Certificates
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Eleanor Smith is a seasoned IT Professional, has taught a variety of technology subjects (Oracle cloud systems, data management, and programming) for both academic institutions and corporate clients. She was one of the first instructors in McMaster’s Big Data Analytics continuing education program launched in 2017 and helped develop its curriculum to promote data literacy in the context of Big Data.