The course will comprise lectures, activities and case studies to provide active learning opportunities through interactive quizzes, group work and individual assignments. Participants will also be provided with pre-readings to prepare for the classes, which will be conducted via four online sessions. Participants can use the learning management system and multimedia resources to enhance their study.
Data management and case studies
- Learn about 10 knowledge areas from the data management body of knowledge (DMBok), including data governance, data architecture, data modelling & design, data storage, data security, data integration & interoperability, documents & contents, reference & master data, data warehousing & business intelligence and data quality.
- Identify the data governance roles for one key data-set from your organisation.
- Identify key data management challenges from your organisation and develop a plan to address them.
Data science initiatives delivery and case studies
- Learn about unique characteristics of data science initiatives
- Learn about agile frameworks
- Learn about data science methodologies
- Learn about technology landscape and role & skills-sets required on the delivery team
- Learn about data science initiatives delivery framework
- Identify a use-case from your organisation and construct a program delivery structure.
Apply data management and data science delivery techniques
- For the use-case identified in the section above, identify key data-sets, data governance roles, conceptual data model and integration requirements
- For the use-case identified in the section above, identify technologies, delivery governance structure, roles and responsibilities and delivery roadmap
- Develop a 1000-word report and 8–10-minute presentation about the identified case study.
Course delivery
Delivery of this course will include lectures on key concepts, presentations by guest lecturers on applications of concepts using case studies and active learning opportunities through targeted activities that will be integrated throughout the sessions (group work, in-class presentations by groups).
Learning strategies include the use of pre-readings and/or multimedia content to prepare for the course. In addition, online reference and resource material is provided that will be available throughout the semester, and relevant topics that relate to subject topics will also be posted from time to time to demonstrate relevance on the course content. Feedback will be provided on formal assignment submissions during the classes and after the course.
