Business Analytics and Visualisation
Duration
- One Semester or equivalent
Contact hours
- 24 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
Hawthorn Higher Ed. Semester 2 |
Hawthorn HT3 Term 3 | |
---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Aims and objectives
This unit focuses on business analytics and visualisation, equipping students with the relevant data analytics and visualisation skills required to solve the complex data problems of modern businesses. Students will have the opportunity to learn about evidence based decision-making, online analytical processing, big data, data visualisations and various tools and techniques to perform descriptive, predictive and prescriptive analytics and their application in various domains.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Critically evaluate the concept of business analytics and visualisation and its application in various organisational contexts.
2. Critically evaluate the concepts of descriptive, predictive and prescriptive analytics and apply the appropriate data analytics tools and techniques to implement business analytics strategy.
3. Apply critical thinking and problem solving skills to resolve complex data problems.
4. Research and evaluate the effect of big data, unstructured data, stream analysis and text analytics.
5. Demonstrate appropriate communications skills in group work as well as written and oral presentations. Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Hawthorn
Type | Hours per week | Number of Weeks | Total |
On Campus Class in Computer Lab | 2 | 12 | 24 |
Online (asynchronous lecture) | 1 | 12 | 12 |
Unspecified Activities Independent Learning | 9.5 | 12 | 114 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Assignment 1 | Individual | 30-40% | 1,2,3,4 |
Assignment 2 | Individual | 20-30% | 1,4 |
Project | Group | 20-40% | 1,2,3,4,5 |
Presentation | Group | 10-20% | 1,3,5 |
Content
• The evolutionary process of business analytics implementation
• Strategic planning and evaluation of business analytics projects
• Data visualisation, dashboard design, storyboarding with analytics
• Marketing analytics, financial analytics, sports analytics, geospatial analytics, security analytics, health analytics, SNA, and various other advances in business analytics
• Use of and value of analytics in Business divisions, management functions, different management levels, performance management
• Descriptive, predictive, prescriptive, sentiment and geospatial analytics
• Privacy, ethical and legal issues related to business analytics
• Strategic planning and evaluation of business analytics projects
• Data visualisation, dashboard design, storyboarding with analytics
• Marketing analytics, financial analytics, sports analytics, geospatial analytics, security analytics, health analytics, SNA, and various other advances in business analytics
• Use of and value of analytics in Business divisions, management functions, different management levels, performance management
• Descriptive, predictive, prescriptive, sentiment and geospatial analytics
• Privacy, ethical and legal issues related to business analytics
Study resources
- Reading materials.
Reading materials
Students are advised to check the unit outline in the relevant teaching period for appropriate textbooks and further reading.