New Course  
November 2025

Commercial Python for Spatial Statistics and Machine Learning

Advance geospatial insight with Python.

This course is still in development, but the foundation is set.
Get a first look at what we’re creating and how it’s being shaped by real workforce needs.

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Blueprint for impact

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:

Harness commercial geospatial tools

Explore how to apply ArcGIS Pro, ArcPy, and the ArcGIS API for Python to complete tasks like geoprocessing, geocoding, and map automation using real spatial datasets.

Apply spatial statistics and ML

Use Python to calculate predictive models, assess clustering patterns, and evaluate spatial suitability through the integration of machine learning in geospatial projects.

Write and modify Python code

Gain confidence in creating and editing commercial Python scripts to automate workflows, improve efficiency, and support data-driven decision-making in spatial contexts.

Translate code into insights

Transform commercial Python libraries into actionable intelligence by generating geographic visualizations and conducting robust spatial analyses.

"We are building this course to empower learners with the concepts and tools they need to lead spatial data science efforts in professional environments. Commercial Python tools are central to the workflows used by many organizations, and being able to work fluently in this space gives our learners a real edge. My goal is to ensure they can confidently contribute to high-level geospatial analysis and machine learning tasks. I’m especially excited about how this course will open doors to advanced GIS roles and strengthen workforce impact in data-driven fields."

Brian Tomaszewski, Ph.D.
Course Developer

Flexible. Applied. Built for business.

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.

Let's talk goals

Commercial Python for Spatial Statistics and Machine Learning

RITx Course
CE-ITCS-3000

Strengthen your spatial data science toolkit by mastering commercial Python tools that drive advanced analytics, spatial statistics, and machine learning in professional geospatial workflows.

Online
10 Weeks
Entry Level

Course description

Course outcomes

The learning experience

Cost

Why this course matters
Employer Demand
Employer Demand
This demand score is based on real-time job posting data from Lightcast. It reflects employer demand for the skills taught in this course, drawn from millions of job listings across industries and regions.
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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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Skills taught in this course
No items found.
Top job titles using these skills
Job Titles
These top job titles and salary ranges are based on real-time job posting data from Lightcast. They reflect roles that commonly seek the skills taught in this course, drawn from millions of listings across industries and locations.
Software Development
$
144256
k
/yr
Computer Programmer
$
67968
k
/yr
Geographer / GIS Specialist
$
81792
k
/yr
Software Developer / Engineer
$
144256
k
/yr
Data Scientist
$
145280
k
/yr
Data Analyst
$
97152
k
/yr
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Badge awarded upon completion.
Credly Badge
Upon successful completion, you’ll earn a digital badge from RIT Certified via Credly. It’s shareable, verifiable, and showcases your skills to employers on LinkedIn, resumes, and more.

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This course may have multiple start dates.
Choose the one that works best for you.

No open sections.

You will be directed to our secure course registration and payment system.

Ready when you are

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.

I'm interested

Hear from the experts

Watch an introduction by the creator of this course, [name]

Insight

"We are building this course to empower learners with the concepts and tools they need to lead spatial data science efforts in professional environments. Commercial Python tools are central to the workflows used by many organizations, and being able to work fluently in this space gives our learners a real edge. My goal is to ensure they can confidently contribute to high-level geospatial analysis and machine learning tasks. I’m especially excited about how this course will open doors to advanced GIS roles and strengthen workforce impact in data-driven fields."

Brian Tomaszewski, Ph.D.
Course Developer

Value

Flexible. Applied. Built for business.

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.

Let's talk goals
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