Graduate Certificate of Professional Data Analytics

Duration: 1 Teaching Period
Contact hours: Recommended 10 hours of study per week

About this unit

This unit instructs students on the fundamental principles of information visualisation.

You will develop your ability to create dynamic visualisations that empower users to understand real-world data sets – visualisations that are also vital to strategic decision-making in business contexts.

In your study you will cover a range of specialised topics in business-relevant data analytics, including data-driven decision making, exploratory data analysis, as well as diagnostic and predictive analytics. A core part of your study will be data visualisation and storytelling using software such as Tableau.

Duration: 1 Teaching Period
Contact hours: Recommended 10 hours of study per week

About this unit

This unit develop students’ conceptual and practical understanding of the field of data analytics in the contexts of real-world application.

You will learn basic concepts, techniques and popular tools that characterise professional data analytics, while also following the lifecycle of a practical data analytics project that involves data collection, wrangling, analytics and visualisation.

Upon completing the unit, you will possess a technical toolkit and be able to visualise data in Matplotlib and Seaborn, while also having the capacity to improve data visualisations in Python.

Duration: 1 Teaching Period
Contact hours: Recommended 10 hours of study per week

About this unit

This unit builds on your ability to use Python to perform complex tasks in data anlytics. Not only will you gain a stronger understanding of how to identify and define data science-relevant tasks in practical scenarios, but you will also acquire the ability to apply techniques and tools to resolve data analytics challenges.

Upon completing the unit, you will have a stronger grasp of Python programming, and its varied applications for data analytics: charting probability and statistics, forming databases and SQL, data wrangling and machine learning.

Duration: 1 Teaching Period
Contact hours: Recommended 10 hours of study per week

About this unit

This is a project-based unit in which students work in teams to apply a solution to an industry-driven challenge.

You will select a meaningful project from a range of options that have a direct industry orientation, and align with your chosen specialisation. The options for projects are wide-ranging, and may include any of the following:

• Disruptive business in Australia – case studies
• Disruptive businesses from other countries
• Industry analyses and market positioning
• Idea development and validation
• New venture creation
• Effective business communication
• Ethical and cultural considerations
• Digital business strategy.

By using everything you’ve learnt in your course of study, you will have the opportunity to collaborate and put your skills to the test in order to devise a creative solution for an industry-relevant project.