This repository contains well-documented Python workflows and Jupyter Notebooks designed to help students learn data science concepts including spatial data analytics, geostatistical methods, and machine learning techniques. The demonstrations cover topics like applying models and theoretical concepts with code examples. It was developed by a university professor to support courses on data analytics, geostatistics, spatial data analytics, and machine learning.