This course starts with turning data into clear geographic stories that help people see where patterns are happening. In this short, hands-on course, you’ll learn how to move beyond static charts by building an interactive COVID-case choropleth map using Folium. You’ll explore how geographic boundaries and data values work together to reveal regional trends, and how design choices like color scales influence interpretation.

As you progress, you’ll enhance your map with layer controls and informative popups that allow viewers to explore the data, toggle views, and access details directly on the map. Finally, you’ll complete the workflow by exporting your map as an HTML file and publishing it with GitHub Pages, creating a shareable link that works in any browser. Through guided videos, focused readings, and practical activities, you’ll practice moving from raw data to an interactive, web-based map that supports clear communication and informed discussion.

Querying spatial data effectively starts with understanding how geography is modeled, indexed, and analyzed inside a relational database. In this hands-on course, you’ll move beyond basic SQL by learning how to query geospatial data using PostGIS, PostgreSQL’s spatial extension. You’ll begin by working with core geometry types and spatial reference systems, building a foundation for how location data is stored and interpreted. From there, you’ll write spatial queries that perform distance calculations, proximity searches, and spatial joins to answer real-world questions. As you progress, you’ll explore spatial indexing and query patterns that improve performance and reliability as datasets grow. By the end of the course, you’ll produce reusable spatial SQL queries and analysis patterns that support practical use cases in areas such as logistics, urban planning, and geospatial data engineering—equipping you to work confidently with location-based data in production environments.

Many analysts hit a ceiling when raster datasets outgrow their local machines. Processing slows down, memory runs out, and deadlines slip. This course gives you the practical skills to move past those limits by setting up cloud-based raster workflows on AWS.

You will launch and configure an EC2 instance with GDAL installed, run raster processing tasks both locally and in the cloud to compare performance, and store raster data in Amazon S3 using lifecycle policies to manage costs as datasets grow. Each topic pairs short videos and readings with hands-on activities where you do the actual work, coach-guided reflections that build analytical thinking, and practice quizzes to check your understanding. A final graded assessment validates your ability to apply these skills in realistic scenarios. No prior AWS experience is required. By the end, you will be able to set up a cloud compute environment, evaluate when cloud processing is worth the investment, and design a storage strategy that balances accessibility with cost control.

Keeping location data up to date is critical, but manually updating databases every night does not scale. In this beginner-to-intermediate course (Python and SQL basics required), you will learn how to build, automate, and monitor a real-world geospatial ETL pipeline from start to finish.

Through three progressive lessons, working through the practical scenario of nightly address updates, you will convert raw CSV data into spatial records using PostGIS, schedule reliable pipelines with Airflow, and analyze failures using logs and monitoring tools. Through short videos, hands-on learning, Coach-guided reflections, and scenario-based decision making, you will move beyond theory into applied data engineering. You are required to have basic Python skills, familiarity with CSV files, and introductory knowledge of databases and SQL. By the end of the course, you will have the confidence and skills to build production-ready geospatial pipelines that run automatically, recover from failures, and alert you when intervention is needed.

Stream Real-Time Geo is a beginner-level course that introduces how real-time geographic data pipelines work in applications such as fleet tracking, logistics dashboards, and IoT monitoring systems. The course is designed for learners with basic JavaScript skills and familiarity with web maps and geographic coordinates who want to understand how live GPS data moves from devices to interactive dashboards.

You will begin by ingesting simulated GPS messages using MQTT, a lightweight messaging protocol commonly used in IoT systems. You will observe how location events are structured, transmitted, and received in a publish–subscribe pipeline. Next, you will visualize streaming GPS tracks using Leaflet, an open-source JavaScript mapping library. You will build a live map that updates as new coordinates arrive, learning how markers, paths, and map interactions translate raw location data into operational insight. Finally, you will measure end-to-end latency across the pipeline to understand where delays occur between devices, brokers, and the map visualization. By the end of the course, you will be able to ingest GPS streams, display them on an interactive map, and analyze latency to improve real-time geospatial applications.

Creating trustworthy geospatial projects starts with good data habits. Designed for beginners, this hands-on course introduces the foundations of managing geospatial projects with confidence. You'll learn how to document datasets using ISO 19115 metadata, recognize common geometry validity issues that can quietly affect analysis, and organize project folders for clarity and reuse.

Through videos, readings, guided reflections, and step-by-step hands-on activities, you'll practice the quality checks and organizational workflows used by geospatial professionals. No prior GIS experience is required. Manage Geo Projects is ideal for students, new analysts, and anyone early in their geospatial journey who wants to produce well-documented work that holds up in professional settings.