Overview
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Academic contacts
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Offerings
MURDOCH-S1-EXT-2023-2024
MURDOCH-S1-FACE2FACE-2025-ONGOING
MURDOCH-S1-INT-2023-2024
MURDOCH-S1-ONLINESCHD-2025-ONGOING
MURDOCH-S2-EXT-2022-2024
MURDOCH-S2-FACE2FACE-2025-ONGOING
MURDOCH-S2-INT-2022-2024
MURDOCH-S2-ONLINESCHD-2025-ONGOING
OUA-S1-EXT-2024-2024
OUA-S1-ONLINESCHD-2025-ONGOING
OUA-S2-EXT-2024-2024
OUA-S2-ONLINESCHD-2025-ONGOING
OUA-SUM-EXT-2024-2024
OUA-SUM-ONLINESCHD-2025-ONGOING
OUA-W-EXT-2024-2024
OUA-W-ONLINESCHD-2025-ONGOING
Other learning activities
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Learning activities
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Learning outcomes
1.
Describe the impact of data analytics on society and broad industry sectors
2.
Analyse and discuss ethical issues impacting the use of data analytics
3.
Apply data analysis skills, learning to clean, prepare, and manipulate data
4.
Present data-driven insights in a range of formats for internal and external stakeholders
Assessments
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Additional information
Unit content:
The weekly topic schedule is as follows:
1. Introducing Data Analysis
2. Types of Analytics / Types of Data
3. Data in the World of Work
4. Ethics & Data
5. Cleaning Data
6. Manipulating Data
7. Presenting Data
8. Creative Visualisation
9. Becoming a Data Storyteller
10. Presenting to Stakeholders
11. Analytics & Human Behaviour
12. The Future of Data Analytics