1. Data Analytics and Machine Learning for Mining, Resource and Exploration Geologists
The training focuses on integrating data- and knowledge-driven approaches to improve mineral resources management, exploration target identification, and to reduce uncertainties in mineral prospectivity mapping (MPM).
Training Highlights
- Python Programming for Geoscientists: Learn the fundamentals of Python programming, data manipulation, and visualisation, tailored specifically for geological datasets.
- Machine Learning and Geostatistics: Explore machine learning techniques and advanced geostatistical modelling, including kriging and sequential Gaussian simulation (SGSIM).
- Machine Learning and Geostatistics: Explore machine learning techniques and advanced geostatistical modelling, including kriging and sequential Gaussian simulation (SGSIM).
- Real-World Case Studies: Apply learned techniques to real-world geological scenarios, ensuring practical relevance and industry application.
Training Highlights
- The role of automation and AI in mining operations
- Digital transformation and smart mining
- Breakthroughs in mineral processing
- Modern mining safety advancements
Key Components
- Lectures: Core concepts and theoretical foundations.
- Python Practicals: Hands-on coding exercises tailored to geological data.
- Hands-on Discipline Practicals: Hands-on geological data applications, including resource estimation and machine learning models.
- Case Studies: Real-world examples that integrate all learned skills to solve practical geoscience challenges.
2. Hydrometallurgy, Geometallurgy, and Process Optimisation
The metallurgical sector is undergoing a rapid transformation, and staying ahead requires adopting advanced techniques in hydrometallurgy, geometallurgy, and process optimisation. My Training for Metallurgists is designed to help professionals gain insights into cutting-edge methods for optimising metallurgical processes, minimising waste, and improving resource recovery.
Training Highlights
Data Analytics in Metallurgy: Leverage data analytics and machine learning to optimise metallurgical processes, reduce costs, and improve recovery rates.
Key Components
- Lectures: In-depth knowledge of hydrometallurgical and geometallurgical principles.
- Practical Training: Hands-on exercises focused on process modelling, simulation, and optimisation.
- Real-World Case Studies: Apply advanced techniques to real-world metallurgical challenges, ensuring applicability to the industry settings.
Why Choose My Training?
- Comprehensive Curriculum: My training programs are designed with a focus on practical, hands-on experience, ensuring that participants leave with immediately applicable skills.
- Expert-Led Instruction: Learn from industry experts with years of experience in geosciences, mining, and metallurgy.
- Real-World Relevance: Every session is grounded in real-world challenges and case studies to ensure relevance to current and future industry needs.
- Career Development: My training equips professionals with the technical expertise needed to advance their careers in an evolving mining and metallurgical landscape.
Whether you're a geoscientist seeking to improve your data analytics skills or a metallurgist looking to optimise processes, our workshops provide the knowledge and practical experience you need to stay ahead.
