Isatis.py training – Module 2: Exploratory Data Analysis | Training course
Learn how to master Exploratory Data Analysis with Isatis.py.
Enhance your skills in data visualization, PCA, and more using real ore deposit data.
Objectives
This module is centered around providing an in-depth understanding of Exploratory Data Analysis (EDA), enabling participants to comprehensively explore data.
Key features
- Real Ore Deposit Data Visualization and EDA: Learn how to visualize and analyze actual ore deposit data through a streamlined Python procedure.
- Course Material Provided: Receive documentation, training data, and Python draft scripts that can be reused in your workplace.
- Language Options: The course will be conducted in either French or English, depending on the participants.
Module content
- Data visualization
- Declustering.
- PCA
- Desurveying and compositing
- Contact Analysis
Additional modules
It is essential to note that the completion of previous modules or having experience in geostatistics and Python coding is a prerequisite for participation in any of these modules.
- Module 1: Introduction to Python
October 9th, 2024 – 3 hours
Focus on the Python introduction and presented our solutions and how it is related to the language. - Module 3: Kriging
October 15th, 2024 – 3 hours
Focus on mastering kriging using Isatis.py. - Module 4: Continuous simulations
October 17th, 2024 – 3 hours
Focus on mastering uncertainty quantification using Isatis.py. - Module 5: Multivariate estimation
October 23rd, 2024 – 3 hours
Focus on mastering uncertainty quantification using Isatis.py. - Module 6: Indicators estimation and simulations
October 25th, 2024 – 3 hours
Focus on mastering indicators, and categorical variables using isatis.py. Plurigaussian simulations and Sequential Indicator simulations applications are exercised.
Who should attend
Geologists, geoscientists, environmental engineers, anyone wishing to gain the skills needed to start using Python to analyze their data and to build simple procedures.
Prerequisites
Prior knowledge of scripting with Python is required to participate.