Business Analytics and Visualisation
Duration
- One Semester or equivalent
Contact hours
- 36 hours
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
Hawthorn Higher Ed. Semester 1 |
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.
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.
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
Block Mode:
This unit will be delivered in block or intensive mode. Block mode may consist of blended, intensive and immersive teaching, which can include full day teaching and weekend teaching requirements.
Student workload:
This includes all:
• Scheduled teaching and learning events and activities (contact hours timetabled in a face-to-face teaching space) and scheduled online learning events (contact hours scheduled in an online teaching space), and
• Non-scheduled learning events and activities (including directed online learning activities, assessments, independent study, student group meetings, and research.
To be successful, students should:
• Attend and engage in all scheduled classes (face to face or online)
• Start assessment tasks well ahead of the due date, and submit assessments promptly
• Read / listen to all feedback carefully, and consider it for future assessment
• Engage with fellow students and teaching staff (don’t hesitate to ask questions)
Assessment
1. Assignment 1 (Individual) 30 - 40%
2. Assignment 2 (Individual) 20 - 30%
3. Project (Group) 20 - 40%
4. Presentation (Group) 10 - 20%
General skills outcomes
During this unit students will receive feedback on the following key generic skills:
• Problem solving skills
• Analysis skills
• Communication skills
• Ability to tackle unfamiliar problems
• Ability to work independently
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.