Get a look at the pillars shaping this course.
While development is still underway, these highlights offer an early look at the skills and outcomes you’ll be working toward:
Dive into advanced spatial statistics and machine learning to uncover patterns, predict trends, and analyze suitability using open-source Python libraries.
Learn how to use GeoPandas and related libraries to write, adapt, and optimize spatial data science workflows that are flexible and cost-effective.
Practice coding in Python to create efficient, modular scripts that support scalable spatial analysis—ideal for professionals working with large datasets.
Create interactive, insightful geographic visualizations using Jupyter Notebooks, helping translate complex analysis into clear decision-making tools.
"Spatial data science is evolving rapidly, and professionals need access to free and open source (FOSS), flexible, scalable tools that keep up. This course is being developed to give learners the skills to use open-source Python tools to explore spatial patterns, predict outcomes, and build practical, reusable workflows. We are designing it to meet the growing demand for geospatial analysis that is both powerful and accessible. I am especially excited about how this course will open doors for learners to work across sectors using tools that are future-ready and cost-effective."
Exploring this for your team, not just yourself? You’re in the right place. This course is still in development, making it an ideal time to explore how it could support your workforce goals. Whether you're planning ahead or seeking a strategic fit, we’ll help tailor the experience so it delivers value for your team from day one.
Advance your spatial data science skills with Python and open-source tools. Learn to apply spatial statistics and machine learning to solve real-world problems with flexible, future-proof workflows.
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This course is designed by RIT and delivered on the edX platform. Enrollment is available exclusively at edx.org. Please visit the edX website to explore more detailed information about pricing options, start dates, time commitment and more.
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This course is not currently open for enrollment, but that doesn’t mean the opportunity has to wait.
If this course aligns with your goals or your team’s needs, let us know. Your interest helps us plan future sessions and may even accelerate the timeline. We also offer custom options for organizations looking to run tailored versions of this experience.
Watch an introduction by the creator of this course, [name]
"Spatial data science is evolving rapidly, and professionals need access to free and open source (FOSS), flexible, scalable tools that keep up. This course is being developed to give learners the skills to use open-source Python tools to explore spatial patterns, predict outcomes, and build practical, reusable workflows. We are designing it to meet the growing demand for geospatial analysis that is both powerful and accessible. I am especially excited about how this course will open doors for learners to work across sectors using tools that are future-ready and cost-effective."
Exploring this for your team, not just yourself? You're in the right place. RIT Certified courses and certificates deliver high-impact ROI whether used off the shelf or tailored with our team to align with your workforce strategy. Each offering builds in-demand skills that help teams grow, retain talent, and stay ahead in a world of constant change. We don’t just deliver training. We help you plan for what’s next.
This course is part of a broader mastery certificate.
Explore how it fits into a full learning journey.
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