Spatial data science is an iterative process that extends beyond the run of one tool. We�ll demonstrate an analysis workflow from start to finish, providing a framework for the spatial data science process. Starting with data engineering and visualization, we�ll prepare our data and begin exploration through visual analysis. Next, we�ll explore how to compare and evaluate different modeling techniques and learn how to apply them to make predictions. Finally, we�ll tie it all together and see how we can use our predictions to drive action.