Thursday 23rd February
Thursday 23rd March
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:
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:
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
15:15 - 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.