From asset tracking, to market analytics, to situational awareness, spatial data science is used to help organizations solve their most complex business challenges. In this session you will learn the essentials of spatial analytics from Esri – the pioneer of GIS technology and market leader in location intelligence. We will show you how spatial methods can be applied to data cleaning and feature engineering and demonstrate how you can go beyond points and lines on map to create spatial data visualizations backed by statistics. We will provide examples on how to apply spatial algorithms to solve problems and give tips and tricks on favorite Python libraries and packages to help you through each stage of your workflow.