Geodata Analytics: Fundamentals
Learn the fundamental skills of data analytics, such as data management, data preparation and image analysis and segmentation.
Key Information
| Course Price | $990* Student discount price available. Please contact [email protected] for more information.
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| Delivery | Online |
| Duration | 42 hours |
| Date | Semester 2, 2022 |
| Registrations | Coming Soon |
Student discount price available. Please contact [email protected] for more information.
About this course
Geodata Analytics: Fundamentals will provide you will the essential knowledge and skills to get started in the Geodata Analytics series.
This fully online, self-paced course will cover a range of industry-relevant topics including: understanding basic statistics, databases and exploratory data analysis, classification and querying of database queries, and image analysis and segmentation.
You will also learn about data formats and data preparation such as filtering and transformation, and learn from peer-review literature and a case study involving data analytics.
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 self-paced, allowing you to study when it’s convenient for you. As a general guide, we recommend allocating 42 hours to complete this course. Learning materials includes video content, online quizzes, short answers questions and online discussion boards.
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 this course 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
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Identify appropriate methods for analysing geoscience data based on the nature of input data set and desired outcome/s
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Define the structure workflows for reproducible analysis of geoscience data
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Explain how computer-assisted interpretation can aid analysis of different geoscience data sets
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Evaluate the suitability of different data analysis approaches to a given data set to achieve a desired outcome
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.