Isatis.py training – Module 2: Exploratory Data Analysis | Training course
Master the development of Python workflows for data analysis, transformation and visualization using our geostatistics library, Isatis.py. Learn Python coding best practices in a team environment, and build your own library.
Objectives
- Through hands-on practice with a real-world mineral deposit dataset, leverage Isatis.py’s Exploratory Data Analysis (EDA), data transformation, and visualization tools to deliver results and graphics efficiently.
- Learn Python coding best practices. Create clear, high-quality Python scripts for easy interpretation.
- Enhance your geostatistical expertise and practical skills.
Module content
- 2D and 3D data visualization
- Declustering
- Principal Component Analysis (PCA)
- Desurveying and compositing
- Contact analysis
Key features
- Receive documentation, training datasets, and reusable Python scripts to apply in your workplace.
- The course is available in French or English, based on participants’ preferences.
Additional modules
The Isatis.py training program comprises a series of 6 modules that can be completed independently:
- Module 1: Introduction to Python
3 hours
Get acquainted with Python and explore how Isatis.py is connected to this programming language. - Module 3: Kriging
3 hours
Master kriging using Isatis.py. - Module 4: Continuous simulations
3 hours
Master simulations and uncertainty quantification using Isatis.py. - Module 5: Multivariate estimation
3 hours
Master multivariate estimation using Isatis.py. - Module 6: Indicators estimation and simulations
3 hours
Master estimation and simulation of indicators and categorical variables using Isatis.py.
Who should attend
Designed for geologists, geoscientists, environmental engineers, and professionals looking to develop their skills in creating customized, flexible, and efficient geostatistical workflows based on Python scripts.
Prerequisites
Prior knowledge of scripting with Python is required to enroll.