Learn GIS: From Basics to Modern Geospatial Skills - GIS vs. Open Source: The ultimate showdown?

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29 learners

What you'll learn

This course includes

9.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

gis data science spatial data science spatial data analysis geospatial modern gis matt forrest esri arcgis gis technology spatial analysis geographic information systems

Full Transcript

🚀 Ready to move beyond desktop GIS? Step into the Spatial Lab: a global community for ambitious geospatial professionals who want to break out of outdated workflows and join the top 5% of the field. 👉 Join Spatial Lab: https://forrest.nyc/spatial-lab/ 🎓 Want structured, career-changing learning? 🚀 Modern GIS Accelerator: https://forrest.nyc/accelerator/ — master Python, Spatial SQL & cloud workflows in 2 weeks 🧭 Career Compass: https://forrest.nyc/career-compass/ — fast, practical steps to land the GIS role you want 🪄 AI Copilot for GIS: https://forrest.nyc/ai-copilot-for-gis/ — learn to integrate AI into your geospatial workflows & boost your productivity 📰 Weekly modern GIS insights: https://forrest.nyc ⚡️ Spots for the next live cohort and mentorship cycle are closing soon, join now to lock in your place and momentum. A big debate in geospatial is between using traditional GIS versus open source tools. There are effectively two different worlds. In this video we explore how we got here, and if this is a debate even worth having? 0:00 Intro 1:14 Traditional GIS 2:16 Open source 3:52 Why do we have a divide? 5:15 Are they really so different? 6:11 Better together 7:59 What this has to do with Ted Lasso Thanks for watching! You can support this channel in a few different ways: CONNECT WITH ME 📸 Instagram: https://www.instagram.com/matt_forrest/ 💼 LinkedIn: https://www.linkedin.com/in/mbforr/ 📧 Newsletter: https://forrest.nyc 🌐 Website: https://forrest.nyc Other courses to get started with GIS, spatial data science, and data science (affiliate links): Geographic Information Systems (GIS) Specialization from UC Davis: https://imp.i384100.net/n1Kyxo Spatial Data Science and Applications from Yonsei University: https://imp.i384100.net/9W6E6W Python for Everybody from University of Michigan: https://imp.i384100.net/BX3P31 Remote Sensing Image Acquisition, Analysis and Applications: https://imp.i384100.net/Xxe4Ay #gis #hydrology #python