Key Information

Course Price
$1650* Student discount price available. Please contact [email protected] for more information.
Delivery Online
Duration 60 hours
Date Semester 2, 2022
Registrations Coming Soon


Student discount price available. Please contact [email protected] for more information.

About this course

This intensive 1-week course offers you the opportunity to expand your knowledge and learn from industry experts through a mixture of online lectures and practical online workshops. 

Guest lectures will be given by experts in the fields of the following areas:

    Geological databases and online data access

    Compositional data analysis

    Text processing and mining

    Network analysis

    Unsupervised learning and segmentation

    Supervised image classification

    Deep learning

You will learn how to identify, integrate and process relevant data to produce models, and how to carry out analysis and visualization with an emphasis on reproducibility and reporting outcomes. The datasets in this course will focus specifically on mineral exploration or mining-related problems.

Successful completion of all assessments in this course series will make you eligible to recieve credit into the Master of Economic Geology. For more information please contact [email protected] and/or click here

How you will learn

This course is fully online and includes a mixture of online lectures and practical workshops. As a general guide, we recommend allocating 60 hours of study time to complete this course.

All participants will receive a Certificate of Completion after completing this course.

Who should do this course?

This course is designed for mineral industry professionals and under-employed industry professionals looking to increase their skills and knowledge.  

All participants must complete Geodata Analytics: Fundamentals before registering for the next courses in this series; Geodata Analytics: Methods and Tools and Geodata Analytics: Collaboration, Interpretation and Communication.

What you will learn

  • Appreciate the value of data analytics to mineral industry problems and identify future directions in geodata analytics

  • Construct logical workflows for reproducibly analysing geoscience data

  • Achieve a desired geodata analytics outcome through sound theoretical knowledge and exploratory data analysis

  • Produce analysis of geoscience data that identifies a previously unknown geological relationship/pattern

Matthew Cracknell

Dr Matthew Cracknell is a Postdoctoral Research Fellow in Earth Informatics at the ARC Industrial Transformation Research Hub for Transforming the Mining Value Chain (TMVC). He also lectures 2nd and 3rd year geophysics students for the School of Natural Sciences (Earth Sciences) and conducts research at the Centre for Ore Deposit and Earth Sciences (CODES). His research focuses on the use of data mining and pattern recognition techniques for integrating and analysing geoscience data.