Geodata Analytics: Methods and Tools
Expand your knowledge by learning from various industry speakers in this 1-week intensive online workshop.
Course Price | $1650* Student discount price available. Please contact [email protected] for more information.
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Delivery | Online |
Duration | 60 hours |
Date | 19 Sep - 24 Sep |
Registrations | Open |
Student discount price available. Please contact [email protected] for more information.
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.
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