ICTSS00104 Data Analysis Skill Set

The last decade has seen a transformative rise in the role of data in organisational decision-making. Data has grown in size and variety, requiring a new breed of analysts who can apply cutting-edge techniques at scale while producing actionable insights.

In this nationally recognised skill set, you will learn how to wrangle data from various sources, collate and report on this data, and learn the fundamentals of machine learning and clustering techniques.

The course introduces programming in Python for data analysis, starting at the basics in the first weeks and following with increasingly more advanced scenarios and applications ranging from traditional collation and analysis to clustering techniques, machine learning algorithms, and related advanced methodologies.

This course also provides a good foundation for further study in the Certificate IV in Information Technology (Data Science and AI) and beyond. 

Gain these skills

• Clean and verify data obtained from a variety of sources

• Use analytic techniques to review and ensure data quality

• Follow industry best-practices and organisational policies, procedures, and protocols 

• Use advanced techniques, including machine learning to analyse unstructured peta-scale data

Entrance Requirements

You will need advanced desktop skills in data analysis. Familiarity with programming and scripting is recommended but not required.

Job opportunities

Job titles may include:

• Data analysts

• Data scientists

• Machine learning engineers

• Developers and programmers who analyse and test data against business requirements

Please note this list should be used as a guide only as job titles and qualification requirements may vary between organisations.