Postgraduate Course: Storytelling in Data and Decision Analytics (CMSE11611)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Storytelling "the ability to develop a narrative around a given dataset and associated analysis" is an essential step in Business Analytics. In this course the student will embark into a journey through the various stages of "storytelling with data:" demarcate and understand the context of concern; showcase different visual representations of a given dataset; eliminate clutter; demonstrate how attention can be focused on key information; and ultimately, tell a story out of a given dataset and associated analysis. Finally, they will draft a report in which they will put to practice, on a practical business case, lessons learnt. |
| Course description |
This course aim is to provide storytelling skills for Business Analytics. Business Analytics is a discipline that sits at the boundary of the Social Sciences and of Science & Engineering. As such, it blends research methods from these two broad disciplinary domains. Hence, the ability to develop a narrative out of data is core to Business Analytics.
It is then essential that Business Analysts & Data Scientists familiarise with theories, tools, and techniques underpinning storytelling with data.
The objective of this course is then to investigate the principles and practice of data-driven storytelling in the realm of decision analytics:
- demarcate and understand the context of concern;
- showcase different visual representations of a given dataset;
- eliminate clutter;
- demonstrate how attention can be focused on key information;
- and ultimately, tell a story out of a given dataset and associated quantitative analysis.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2023/24, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Block 2 (Sem 1) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
88 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework (Individual) 100% - Assesses all course Learning Outcomes |
| Feedback |
Formative
Students will receive ongoing formative feedback while they work on their storytelling case study throughout the course.
Summative
Final submission.
|
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demarcate the context within which a given narrative will be developed.
- Showcase different visual representations of a given dataset.
- Eliminate clutter both from a dataset and its visualisation.
- Demonstrate how attention can be focused on key information.
- Tell a story out of a given dataset and associated analysis.
|
Reading List
Knaflic, C. N. (2015). Storytelling with data (C. N. Knaflic, ¿¿¿¿.) [EPUB]. doi:10.1002/9781119055259
Tufte, E. R. (2001). The visual display of quantitative information (2¿ ed.). Cheshire, CT: Graphics Press. |
Additional Information
| Graduate Attributes and Skills |
Cognitive Skills
After completing this course, students should be able to:
Be self-motivated; curious; show initiative; set, achieve and surpass goals; as well as demonstrating adaptability, capable of handling complexity and ambiguity, with a willingness to learn; as well as being able to demonstrate the use digital and other tools to carry out tasks effectively, productively, and with attention to quality
Understand how to manage and sustain successful individual and group relationships in order to achieve positive and responsible outcomes, in a range of virtual and face-to-face environments.
Communication, ICT, and Numeracy Skills
After completing this course, students should be able to:
Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.
Knowledge and Understanding
After completing this course, students should be able to:
Identify, define and analyse theoretical and applied business and management problems, and develop approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore and solve them responsibly. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ben Moews
Tel: (01316) 508074
Email: Ben.Moews@ed.ac.uk |
Course secretary | Ms Heather Ferguson
Tel: (0131 6)50 8074
Email: Heather.Ferguson@ed.ac.uk |
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