Training

Isatis.py training – Module 2: Exploratory Data Analysis

Need a repeatable data-preparation pipeline? Script Isatis.py operations for vizualisation, declustering, drillhole compositing, PCA, and contact analysis.
Next session On demand
Duration 3 hours
Price EUR 250

Where this module sits

The Isatis.py course is delivered in six 3-hour modules that you can take separately or in sequence:

Module 1: Introduction to Python. Get acquainted with Python and explore how Isatis.py is connected to this programming language.
Module 2: Exploratory Data Analysis. Master Exploratory Data Analysis (EDA) to effectively explore data using Isatis.py.
Module 3: Kriging. Master kriging using Isatis.py.
Module 4: Continuous simulations. Master simulations and uncertainty quantification using Isatis.py.
Module 5: Multivariate estimation. Master multivariate estimation using Isatis.py.
Module 6: Indicators estimation and simulations. Master estimation and simulation of indicators and categorical variables using Isatis.py.

Objectives

Exploration procedures become difficult to reproduce when visualization and preparation steps remain manual. Using a real-world mineral deposit dataset, you will build Python scripts that call Isatis.py tools for 2D and 3D visualization, declustering, drillhole desurveying and compositing, Principal Component Analysis, and contact analysis, while keeping the workflow clear and interpretable.

Target audience

Company developers, geoscientists, and data scientists with Python scripting experience and a recommended practical background in geostatistics who build mineral data inspection and preparation workflows.

Content

 

Script dataset visualization
– Create two-dimensional and three-dimensional data visualizations with Isatis.py.

Configure data-preparation operations
– Run declustering operations to address the effect of preferential sampling.
– Script drillhole desurveying and interval compositing for subsequent analysis

Assemble the analysis pipeline
– Configure Principal Component Analysis (PCA) to investigate multivariate structure.
– Run contact analysis on the mineral deposit dataset.
– Organize the confirmed operations as a clear, interpretable Python workflow.

What the course includes

  • Hands-on software training. Computer exercises in Isatis.py, using real datasets.
  • Personalized feedback. Individual guidance from experienced trainers throughout the online sessions.
  • Ready-to-reuse resources. A temporary software license, course documentation, journal files, and datasets to keep and use after the course.
  • Certificate of completion. Issued at the end of the session.

Prerequisites

Python scripting experience is required. If needed, start with Module 1, Introduction to Python. Practical geostatistics knowledge is also recommended, as this course focuses on implementing workflows rather than teaching the methods.

Register, or ask us first

This form handles all three: registration, a quote for yourself or your team, and questions about the content or the prerequisites.

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