Master geospatial analysis, machine learning, and predictive modeling in this hands-on course by Geo-ICT—designed for professionals who want to turn location data into real-world solutions using ArcGIS Pro. Whether you work in urban planning, environmental management, logistics, or public safety, this course will equip you with the tools and techniques to extract meaningful insights from geospatial data and support smarter, data-driven decisions.
Spatial Datascience with ArcGIS Pro
GeoAIGeoAI
Spatial Datascience and ArcGIS
Spatial data science is a fast-growing field that combines data science with geospatial technology to help us understand the world in new and deeper ways. By analyzing and modeling location-based data, it reveals patterns, trends, and relationships that would otherwise go unnoticed. Unlike traditional data analysis, spatial data science brings a crucial dimension into the picture—geography. This spatial context is what enables smarter decision-making in everything from city planning and transportation to climate adaptation and disaster response.
At the core of this discipline are advanced techniques such as geostatistics, machine learning, and spatial modeling. These allow professionals to move beyond simply describing what’s happening and start predicting what might happen next. Tools like kriging, spatial clustering, and regression models help convert raw geospatial data into clear, actionable insights.
ArcGIS Pro, developed by Esri, brings all these capabilities together in a powerful, user-friendly platform. It supports sophisticated analysis and visualization workflows, making it an essential tool in industries like urban planning, environmental management, logistics, and public safety. As more organizations rely on spatial data to guide decisions, the demand for skilled professionals in this field continues to rise.
Geo-ICT’s “Spatial Data Science with ArcGIS Pro” course is designed to meet that need. It offers a practical, hands-on introduction to the core tools, concepts, and techniques of spatial data science—preparing you to tackle real-world challenges with confidence.
No prior experience with ArcGIS? No problem — we recommend starting with our ArcGIS Desktop Basics course to build a strong foundation.
What will you learn
In this course, you’ll develop a deep, working knowledge of spatial data science and how to apply it in ArcGIS Pro. Through guided instruction and hands-on exercises, you’ll learn how to uncover spatial patterns using techniques like kriging and point pattern analysis. You’ll explore how to use machine learning—specifically classification, regression, and clustering—to analyze geospatial data and make informed predictions.
As the course progresses, you’ll build predictive models that help forecast spatial trends, based on current and historical data. You’ll also get practical experience with network analysis, an essential method for optimizing routes and understanding how locations are connected—particularly useful in fields like logistics and transport planning.
Data visualization plays a key role, and you’ll become confident designing maps and dashboards that make complex findings clear and accessible. By combining analysis with storytelling, you’ll learn to communicate your insights in a way that drives action.
By the end of the course, you’ll be equipped to solve complex spatial problems and present your results effectively—turning raw data into real value for your organization or community.
Why choose this course
Geo-ICT’s course stands out because it focuses on real skills, real tools, and real-world application. Here’s why it’s a smart investment in your future:
- We focus on learning by doing, with hands-on projects based on real geospatial datasets.
- You’ll be taught by industry experts who combine deep technical knowledge with practical experience.
- You’ll master ArcGIS Pro, one of the most advanced and widely used platforms for spatial analysis.
The course is flexible, with a structure that fits your learning style and pace.
Course structure
Day 1
You’ll start with the basics of spatial data science and get familiar with the tools ArcGIS Pro offers for spatial analysis. In the morning, we cover key geostatistical techniques, including kriging and point pattern analysis—methods that help you understand and model spatial variation.
In the afternoon, the focus shifts to foundational machine learning concepts like classification, regression, and clustering. You’ll explore how these methods apply to spatial data and begin working through practical examples using ArcGIS Pro.
Day 2
The second day dives into more advanced topics. You’ll explore machine learning techniques tailored for spatial data, such as spatial regression and decision trees. Through hands-on exercises, you’ll learn how to evaluate model performance and interpret results with confidence.
Later, we turn to spatial storytelling—learning how to design clear, impactful maps that communicate your findings visually. The day wraps up with a real-world case study, where you’ll bring all your skills together to solve a complex geospatial problem from start to finish.
Learning Outcomes
- Apply advanced spatial analysis and data science techniques using ArcGIS Pro
- Use geostatistical tools like kriging to identify patterns and model spatial variability
- Build and evaluate machine learning models for spatial prediction, classification, and clustering
- Perform network analysis to optimize routes and assess spatial connectivity
- Design and present professional-quality maps and visualizations to communicate results clearly
- Analyze complex geospatial datasets to generate actionable insights
- Work independently with ArcGIS Pro to solve real-world spatial problems in your field
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Quesions about Spatial Data Science with ArcGIS Pro
In this course you will learn advanced techniques for spatial analyses, geostatistics, and applying machine learning in ArcGIS Pro.
Basic knowledge of ArcGIS Pro is recommended, but the course is also accessible to beginners who want to delve into geospatial analyses.
Geospatial analytics helps you interpret and visualize spatial patterns and trends, which is essential in many geo-related professions.
Spatial Data Science focuses specifically on the analysis and modeling of spatial data, which adds an extra dimension to traditional data science.
You will learn how to model and analyze spatial data to create predictive models and perform advanced analyses.
Machine learning is used to recognize and predict complex spatial patterns, which is valuable for advanced geospatial analytics.
Yes, after this course you will have the knowledge and skills to independently develop predictive models using ArcGIS Pro.
Data visualization is crucial for effectively communicating spatial analysis results, making complex data understandable to a broad audience.