Graduate Certificate in Data Analytics
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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.

About this unit

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.

About this unit

IT systems are powerful tools capable of solving business problems, but to do so operational problems need first to be identified and defined. This unit equips you with both soft skills – to collaborate as part of a team and identify problems – and technical skills in system design to navigate complexities and solve problems.

You will apply visual communication tools as analytical tools to explain design outputs and gain feedback from users and peers, after which you will devise elegant design solutions to resolve contemporary industry problems.

About this unit

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.

About this unit

Database management is both a technical challenge for businesses and organisations, as well as a societal and ethical one.

This unit covers the design thinking behind rigorous database management, standard database querying techniques, all in accordance with the ethical aspects of data management, storage and use.

You will study conceptual data modelling techniques to understand, analyse and capture an abstraction of the complex data aspect of business domains. By doing so you will learn to design a database from a relational database schema and implement effective, ethical and culturally sensitive solutions to database management problems.

About this unit

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. 

About this unit

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.

About this unit

This unit introduces a Business Process Management lifecycle and walks you through all the stages of improving a process from beginning to end.

Process modelling plays a crucial role across multiple phases of the lifecycle and is specifically covered in depth as an essential analysis tool and a platform for process improvements and redesign.

This unit will develop specific skills for Business Process modelling and improvement as well as general skills in critical thinking, teamwork, presentation and writing skills.