Drive organisational transformation through sophisticated and insightful data analytics
Data analysts are skilled ICT professionals who can work across a range of industries. Their role is to collect, translate and interpret data, which then becomes a crucial element of an organisation's decision-making process, feeding into the justifications for implementing new processes, pursuing new goals, and setting a projected course for the organisation well into the future.
By studying the Graduate Certificate in Data Analytics through QUT Online, you will enhance your understanding of data analytics and the fundamental role data analysts play in providing the rationale for an organisation's ongoing evolution.
You will develop data mining and modelling skills that allow you to perform sophisticated analyses of data to inform evidence-based decision-making. With a firm understanding of statistical analysis, you will learn how to produce insightful data visualisations, and in doing so communicate analytical solutions that comprehensively address organisational issues.
Upon graduation you will possess specialised skills in data analysis, data technology and data-driven decision-making, helping you take the next step in your career.
'Data Analytics for Strategic Decision Makers' is your 12 credit point core unit.
In addition, you will select 36 credit points' worth of elective units. These can be 12 credit point elective units, or 6 credit point micro units, which are taken in pre-configured pairs as outlined below.
IFQ619 Data Analytics for Strategic Decision Makers
Unit code: IFQ619
Contact hours: 12–15 hours per week
About this unit
This unit offers students a practical introduction to data analytics, and its application to making decisions. Students will learn common methods for quantitative and computational analytics, through which they can gain an overview of key concepts, skills, and technologies for sourcing data, performing data analysis, and producing appropriate visualisations.
While the course covers relevant technologies for data analytics and information visualisation, the focus is on asking the right questions and solving related problems which are driven from the business/organisational perspective. Students will work with both structured and unstructured data, and will be encouraged to work with open data to address real-life problems in ways that align with ethical principles and good data governance.
Statistical analysis and application form a core part of many organisations’ decision-making in real-world contexts.
In this unit you will look for meaningful patterns within collected data, and produce visualised modelling to various degrees of complexity. In particular, you will explore data and variables, visualisation, basic probability, hypothesis testing, and linear regression.
You will also learn how to select and apply appropriate quantitative methods using software such as R, an open source statistical software. You will practise your quantitative skills using real data from scientists, business, and governments.
In the information age, with astronomical amounts of data produced and made available every minute, data exploration and mining becomes necessary for individuals and organisations who need to make decisions. With the advancements in data storage technology and the need for automation, data analytics skills are now essential.
This data science unit addresses the core concepts, techniques and practices of data exploration and mining. Data analytics methods enable users to manage, interpret, understand, process and analyse the data to find useful insight.
This unit will introduce you to a wide range of data analytics methods and theories to manipulate, model and analyse.
Programming is a technical skill well worth taking the time to master. Even if you haven’t learnt any programming in the past, this unit will introduce you to the basic building blocks of programming algorithms: sequence, selection, iteration, and how algorithmic thinking itself is used to break down problems into simpler steps.
Using C# language to express these steps in universal programming language, you will learn about the imperative style of programming in which a sequence of statements change the program’s state.
You will learn practical troubleshooting skills, and how to debug and test programs to ensure their correctness, as you simultaneously develop an understanding of program syntax and compiler errors.
Object oriented programming is a multi-dimensional method of combating complexity, particularly when developing larger programs. In this unit you will explore the key concepts of abstraction, encapsulation and polymorphism:
• Abstraction is the process of naming known quantities and identifying common properties of a collection of objects.
• Encapsulation is the process “putting things in a box” – selectively exposing some aspects of what’s in the box, but deliberately hiding other aspects.
• Polymorphism is the concept of an object being able to have different.
By using the C# programming language in combination with these concepts, you will learn how to break down complexity and develop practical programming solutions.
Our dedicated support team are here to help you when you need it. They are available online or over the phone seven days a week to answer all your questions. They are here to help with everything from technical support to academic questions. QUT Online has the tools and people to make your postgraduate study achievable and enjoyable.