Data Analytics Foundations

Designed for professionals who are new to working with data, this microcredential covers the fundamentals of data analysis. Understand the value and power of data, master key concepts and terminology, explore clustering and analysis techniques and begin analysing and visualising a range of data sets.

About this microcredential

Data Analytics Foundations introduces participants to the significance and language of data analytics for business and society. The participant will be introduced to the cross-industry standard process for data mining (CRISP-DM), the most common approach to data mining.

This microcredential offers practice in the foundations of data analytics, including identifying data set and attribute types, data preparation and cluster analysis. Advanced techniques for clustering will help develop skills in identifying problems for cluster analysis and a range of approaches to address these limitations. Applying these data analytics techniques enables interpretation of a data set and visual data exploration.

Key benefits of this microcredential

• Get started in data science without the heavy maths or coding – this course uses a visual, open-source platform (KNIME) to demonstrate and practice key concepts and models for those without a programming background.

• Learn both important context and models and how to apply key techniques with practical exercises.

• Complete as a self-contained course, or as a potential pathway to future postgraduate study.

This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is accessible to professionals from a wide range of sectors and backgrounds who are new to working with data.

UTS microcredentials are developed for professionals with a capacity to undertake postgraduate tertiary education.