Python for GIS Automation and Geospatial Applications
Python for GIS Automation and Geospatial Applications
Published 8/2025
Duration: 5h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.83 GB
Genre: eLearning | Language: English
Published 8/2025
Duration: 5h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.83 GB
Genre: eLearning | Language: English
"Automate GIS Workflows and Build Real-World Geospatial Projects with ArcPy, PyQGIS, and Python.
What you'll learn
- Automate GIS tasks with ArcPy & PyQGIS for efficient workflows.
- Process vector & raster data for geospatial analysis in Python.
- Build real-world projects like NDVI & crop health analysis.
- Master data visualization & zonal statistics with Pandas, NumPy.
Requirements
- Basic Computer Skills.
- Interest in GIS.
- No Python Experience Needed.
Description
Unlock the power of Python to revolutionize your GIS workflows with "Python for GIS Automation and Geospatial Applications: Automate GIS Workflows and Build Real-World Geospatial Projects with ArcPy, PyQGIS, and Python"! This comprehensive course, spanning 4 hours and 37 minutes across 39 lectures, equips you with the skills to automate GIS tasks and create impactful geospatial solutions. Whether you’re a GIS professional, geospatial analyst, data scientist, or Python enthusiast, this course guides you from Python basics to advanced automation and real-world applications.
Start by setting up your Python environment with Miniconda, Jupyter Notebook, and QGIS, then master Python programming for GIS, including data handling with Pandas. Dive into ArcPy and PyQGIS to automate geoprocessing, process vector and raster layers, and produce professional maps. Learn to calculate remote sensing indices like NDVI and perform zonal statistics for environmental analysis. Through hands-on capstone projects, you’ll tackle real-world challenges like Leaf Area Index (LAI) and Land Surface Temperature (LST) analysis, and apply computer vision to detect and count plants.
No prior Python experience is needed—just a Windows PC and an interest in GIS. With 7 quizzes, downloadable resources (e.g., scripts, datasets), and expert instruction, you’ll gain job-ready skills for geospatial careers. Enroll now to streamline your GIS workflows and build impactful geospatial projects!
Who this course is for:
- GIS Professionals.
- Geospatial Analysts.
- Data Scientists.
- Python Enthusiasts.
- Students and Researchers.
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