Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Data Visualisation For Business Analytics | |||
| Reference | CBM206 | Version | 2 |
| Created | February 2024 | SCQF Level | SCQF 11 |
| Approved | July 2018 | SCQF Points | 15 |
| Amended | April 2024 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| This module focuses on data visualisation and visual analytics. Students design and create visualisations and dashboards to explore data and to visualise data for different audiences. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Evaluate and manage data sources for data visualisation |
| 2 | Critically appraise different types of data visualisation and the contexts within which they may be applied |
| 3 | Apply data visualisation tools and techniques to explore, analyse and present data |
| 4 | Synthesise data sets and sources. |
| 5 | Develop data visualisation dashboards for self-serve analytics |
| Indicative Module Content |
|---|
| Principles of data visualisation; aesthetics; visual perception; data preparation and evaluation; data representation; visualisation workflow; chart types; data-driven storytelling; blending and joining data; visual analytics; interactivity; dashboard design; self-serve analytics; ethics of visualisation. |
| Module Delivery |
|---|
| The module is delivered via online exercises, workshops, industry speakers, case studies and lab tutorials. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 36 | 36 |
| Non-Contact Hours | 114 | 114 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Coursework | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4, 5 |
| Description: | The module will be assessed through a portfolio of data visualisations, dashboards and an accompanying reflective report. | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighting of C1. An overall minimum grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | The student needs to achieve an A in C1. |
| B | The student needs to achieve a B in C1. |
| C | The student needs to achieve a C in C1. |
| D | The student needs to achieve a D in C1. |
| E | The student needs to achieve an E in C1. |
| F | The student needs to achieve an F in C1. |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | ACHARYA, S. and CHELLAPPAN, S. (2017). Pro Tableau. New York: Apress |
| 2 | COSTELLO, T. and BLACKSHEAR, L. (2020). Prepare your data for Tableau : a practical guide to the tableau data prep tool. California : Apress |
| 3 | FEW, S. (2012). Show Me The Numbers. Burlingame, CA: Analytics Press |
| 4 | KNAFLIC, C. (2015). Storytelling with data. New Jersey: Wiley |
| 5 | MURRAY, D. (2016.). Tableau your data!. Indianapolis: Wiley |
| 6 | SHANKAR, A. (2021). Tableau for business users : learn to automate and simplify dashboards for better decision making. Berkeley, CA : Apress L.P. |
| 7 | TUFTE, E. (2001). The visual display of quantitative information. (2nd ed). Cheshire, Conn: Graphics Press |