The Future of Data
Digitalisation has increased the availability, use and value of data. HDR candidates must be enabled to engage in the effective, efficient and ethical use of data for research purposes. This module develops fundamental awareness and knowledge about key concepts, essential tools and best practises across the lifecycle of data-driven research.
The Future of Data: Data Analytics – Concepts, Principles and Practices
Free of Charge
for eligible students from ATN member universities.
Optimal Module
for those in the second half of their PhD studies.
Suitable For
All levels of knowledge and experience in this area
Designed to shape how you think, feel and act in relation to data, this module will increase your ability to navigate and prepare for the demands of professional roles in our data-driven world.
This module provides a series of self-directed learning experiences and facilitated workshops designed to increase your awareness and adoption of useful practices for the effective, efficient and ethical use of data.
It scaffolds 8 topical categories in a sequence of self-paced and/or blended-learning workshop sessions, across a five-week period:
- Concepts, Drivers & Trends: Defining key ideas and principles relating to data, analytics and modelling [self-directed]
- Privacy, Security, Ethics [self-directed]
- Responsible Data Management [self-directed]
- From Question to Data to Insights [self-directed]
- Data Analytics Toolkit: Introducing principles, aids and insights for coding and analytics by syntax. [self-directed]
- Start to Code: Overview and hands-on Python, markdown, Jupyter notebooks and Kaggle. [blended: self-directed + interactive workshop]
- Explore, Describe, Visualise: Convert and communicate data through graphic representation. [blended: self-directed + interactive workshop]
- Tests, Model, Predict: Demonstrating basic analytical computations using the Analytics Toolkit. [blended: self-directed + interactive workshop]
Learning hours: Total of approximately 8-10 hours of learning across 4 weeks. Your learning will consist of approx. 7 hours of asynchronous online learning within the OpenLearning platform + 3 hours of synchronous learning in a series of live online facilitated workshops with your expert facilitators (dates and times in the 2024 Delivery Dates section below).
The video discussion about data management and the future of data were amazing. There are so many things I had not considered in the process of data, and WHAT data actually is too. Learning online meant I could self-pace my learning too.
[Student, November 2023]
Facilitator team: Curtin University
Learning Outcomes
Upon completing this module you will be able to:
- Understand key concepts, drivers and trends as they relate to data analytics as a phenomenon and profession
- Demonstrate more autonomy and authoritative judgement toward responsible and effective data management
- Carry out basic yet powerful data transformations in Python and confidently continue to grow your skills
2024 Delivery Dates
6 May – 7 June
Online Workshops
29 July – 30 August
Online Workshops
21 October – 22 November
Online Workshops
Students who complete Level 1 of ATN Frontiers will develop the ability to:
- Appreciate the types of changes in societal needs
- Research capabilities and technological sophistication that may impact our future and employability within it
- Recognise and explain potential disruptors of a future area of work or research
- Explore the potential impacts/outcomes of that disruptor
Interested?
In order to enrol, students will receive the ATN Frontiers Registration of Interest form directly from their university. Once this form is complete, the ATN Frontiers Program Team will contact students to complete their enrolment. Places are limited so we recommend registering interest as soon as possible.