The Spatial Data Science Bootcamps will bring together a range of Spatial Data Science experts from both industry and academia to facilitate sessions. The bootcamp will show how to use different methodologies, tools and datasets to analyze and visualize spatial data. Our team will include:
Geospatial analyst working on complex problems such as site selection, retail planning, territory optimization, and capacity planning across a wide range of industries and verticals utilizing a wide range of tools for analysis, data science, front-end development, and visualization.
Professor of Geography
San Diego State University
Sergio Rey is a professor of Geography, the Founding Director of the Center for Open Geographical Science and the co-founder and lead developer of the open source Python Spatial Analysis Library (PySAL), and has taught workshops on PySAL throughout the world.
Intro & welcome
9:30 - 9:45
The foundations of geospatial
9:45 - 10:30
Foundations: Spatial Data Science, what does what?
10:30 - 11:00
11:00 - 11:30
Spatial data engineering & cloud data warehouses
11:30 - 12:15
12:15 - 13:15
SQL - CARTO
13:15 - 14:45
14:45 - 15:15
Python - PySAL
14:45 - 16:45
Data storytelling & communication
16:45 - 17:15
17:15 - 17:30
1 day of intensive training in Spatial Data Science methodologies with multiple industry experts.
Breakfast, coffee, lunch and after-workshop networking reception.
Your Spatial Data Science Bootcamp certificate & t-shirt.
The Spatial Data Science Conference has been running since 2017. Our conferences (which take place online, in New York and London) have brought together thousands of people across the globe to discuss Spatial Data Science use cases, showcasing some of the best stories from a wide range of industries and countries. Our new bootcamps come as a response to many of our attendees also wanting a more hands-on experience, as well as organizations needing to upskill their Data Science teams in all things geospatial.