SDSC22 Globe

Thursday 23rd February

New York

Thursday 23rd March

Get your ticket

The Spatial Data Science Conference has brought together GIS & Data Science experts to discuss the latest & Skills in Spatial Data Science are increasingly in demand, and yet only 1 in 3 Data Scientists in enterprise organizations have significant experience working with spatial data and modelling.

This Spatial Data Science Bootcamp is an intensive 1-day course designed for Data Science and Analytics professionals in both the private and public sector. The syllabus will arm you with the geospatial skills and knowledge you need to get started in applying spatial analysis to your day to day work.

In partnership with:

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Where & When?


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:

Dani Arribas-Bel
Dani Arribas-Bel

Geographic Data Science


Specialist in urban economics, spatial analysis, spatial econometrics, open source geocomputation, Python programming and Spatial Data Scientist of the Year 2020.

Dani Arribas-Bel Linkedin
Helen McKenzie
Helen McKenzie



Helen has been working in the geospatial industry for 9 years with rich experience delivering solving spatial problems across various industries including transport, infrastructure,city planning and sustainability.

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Miguel Alvarez
Miguel Alvarez


Data Scientist

Mathematician specialized in Operations Research with +10 years of experience in designing, implementing, and delivering Optimization and Machine Learning solutions to enable data-driven decision making in complex business contexts.

Miguel Alvarez Linkedin
Matt Forrest
Matt Forrest

Geospatial Data

Science Expert

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.

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Adam Dennett
Adam Dennett

Lecturer in Smart Cities

and Urban Analytics

Professor of Urban Analytics and Head of Department at the Bartlett Centre for Advanced Spatial Analysis, University College London.

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Sergio Julio Rey
Sergio Julio Rey

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.

Sergio Julio Rey Linkedin
Levi John Wolf
Levi John Wolf

Senior Lecturer

in Quantitative Human Geography

Working on projects under Sergio Rey, Luc Anselin, Alan Murray, and Stewart Fotheringham, Levi has been a Senior Lecturer at the University of Bristol since 2019.

Levi John Wolf Linkedin


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


13:15 - 14:45


14:45 - 15:15

Python - PySAL

14:45 - 16:45

Data storytelling & communication

16:45 - 17:15

Closing remarks

17:15 - 17:30


This includes:

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1 day of intensive training in Spatial Data Science methodologies with multiple industry experts.

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Breakfast, coffee, lunch and after-workshop networking reception.

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Your Spatial Data Science Bootcamp certificate & t-shirt.

More about SDSC

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.