Web-GIS & Python for Geospatial Analysis - AulaGEO

🌏 Explore the World of Web-GIS & Python with AulaGEO Academy

Course Title: Web-GIS & Python for Geospatial Analysis - AulaGEO

Course Headline: 🚀 Master web-based geographic information systems (GIS) and Python for geospatial data management and analysis with our comprehensive online course!

Objective:

This course is tailored to help participants master the skills necessary to develop, interact with, and manage spatial data for internet deployment using open source tools. By completing this course, you will be adept at utilizing PostgreSQL for data management, styling your data with GeoServer, and deploying interactive web maps using OpenLayers. Additionally, you'll refine your Python programming skills for geospatial analysis within ArcGIS Pro using ArcPy.

Target Audience:

This course is perfect for:

• 📍 GIS Professionals looking to expand their skillset with open source tools and Python.
• 💻 Developers aiming to integrate geospatial data into web applications.
• 🧬 Data Scientists seeking to enhance their analytical capabilities with geospatial data.
• And anyone with a passion for geographic information systems (GIS) eager to explore open source software and Python programming. Whether you're a beginner or have prior experience, this course is designed to cater to your needs.

Course Content:

Level I: Web-GIS using Open Source Software and ArcPy for ArcGIS Pro

This level introduces the fundamental tools for web-GIS development and Python programming for geospatial analysis.

1. 🛠️ PostgreSQL for Data Management:

   • Setting up PostgreSQL and configuring PostGIS for handling spatial data.
   • Techniques for inserting and managing your geospatial data.

2. 🌍 GeoServer for Data Stylization:

   • Installing GeoServer to create and manage your data stores and layers.
   • Customizing the appearance of your geospatial data for effective visualization.

3. 🌐 OpenLayers for Web Deployment:

   • Learning the basics of web deployment with OpenLayers.
   • Adding data layers to an HTML page and integrating WMS services, map extensions, and timeline features.

4. 👾 Python Programming in ArcGIS Pro:

   • Discovering ArcPy's capabilities for geospatial analysis.
   • Practical exercises to automate GIS tasks and enhance your spatial analysis skills.

Level II: Data Science - Using Python, Plotly, and Leaflet

This level dives into the world of data visualization and interactive mapping with Python and open-source libraries.

1. 📊 Data Visualization Principles:

   • Understanding methodological principles of data visualization.
   • Practical exercises to extract and deploy data using Python and Plotly for geospatial visualizations.

2. 🧫 Geospatial Data Representation:

   • Engaging with historical geospatial analysis, such as reconstructing John Snow's cholera map.
   • Exploring scientific and statistical graphics through animation code.

3. 🍃 Interactive Maps with Leaflet:

   • Using Leaflet to create engaging interactive maps from the ground up.

Level III: Python for Geospatial Analysis

This level is dedicated to enhancing your Python skills specifically for geospatial data science applications.

1. 🧑‍💻 Practical Applications:
   • Real-world examples and resources for hands-on practice with interactive maps and data analysis.
   • Step-by-step tutorials to become proficient in Python for geospatial applications.

Methodology:

Our course follows the AulaGEO methodology, which begins with the basics and progressively builds your skills through practical examples and real-world data sets. This hands-on approach ensures that you can practice and apply the concepts learned at your own pace to truly master the subject matter.

Ready to dive into the world of web-GIS and Python for geospatial analysis? Join AulaGEO Academy today and take the first step towards becoming an expert in GIS development and data science with open source tools! 🌍💻