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🥇Get the course files here: https://www.spatiallab.community/join... 🚀 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 Step into the Spatial Lab: a global community for ambitious geospatial professionals who want to break out of outdated workflows and join the top 5% of the field.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. Looking to dive into geospatial data analysis using Python? This comprehensive Geopandas tutorial is perfect for you! Whether you’re just starting out or want to sharpen your skills, this video covers everything you need to know about one of Python’s most powerful geospatial libraries. Introduction to Geopandas: What it is and why it’s a game-changer for geospatial data. Core Concepts: Learn the basics of GeoDataFrames, spatial joins, and geometry operations. Handling Geospatial Data: Work with popular file formats like Shapefiles, GeoJSON, and GeoParquet. Performing Spatial Analysis: Discover tools for performing spatial queries, intersections, and overlays. Real-World Project: Apply your knowledge to a hands-on project that you can add to your portfolio. 0:00 Intro 1:15 What is GeoPandas 4:51 Set Up 14:36 Geospatial Data in Python 32:04 Visualizing Geospatial Data in Python 45:32 Loading Geospatial Files 1:05:19 Spatial Functions in GeoPandas 1:34:08 Spatial Joins in Python 1:39:42 Final Spatial Analysis Project Thanks for watching! You can support this channel in a few different ways: 🎓 Learn more and earn certificates in 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 CONNECT WITH ME 📸 Instagram: / matt_forrest 💼 LinkedIn: / mbforr 📧 Newsletter: https://forrest.nyc 🌐 Website: https://forrest.nyc #gis #geospatial #spatialsql