Esri

Spatial Data Science: The New Frontier in Analytics (Esri)

Offered by Esri,

Over six weeks, build skills to transform traditional data science workflows with spatial data, tools, and methods. You'll work with ArcGIS® software to analyze data, solve complex problems, and communicate results using innovative maps and apps.

Spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques. This course explores the application of spatial data science to uncover hidden patterns and improve predictive modeling. You'll work with powerful analytical tools in Esri's ArcGIS software and learn how to integrate popular open data science packages into your analyses.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of California, San Diego

Code Free Data Science (Coursera)

Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Nov 23rd 2026

4 Weeks

Machine Learning Big Data Data Science

Coursera

The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

Statistics & Data Analysis Data Science

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Nov 23rd 2026

5-12 Weeks

History Education China

Esri

Going Places with Spatial Analysis (Esri)

Management & Leadership CS: Information & Technology

This course is for people who know something about data analysis and want to learn how the special capabilities of spatial data analysis provide deeper understanding. You'll get free access to the full analytical capabilities of ArcGIS Online, Esri's cloud-based mapping and analytics platform.

Apr 13th 2022

5-12 Weeks

Geographic Information Systems GIS Spatial Analysis

Coursera

École Polytechnique Fédérale de Lausanne

Geographical Information Systems - Part 2 (Coursera)

Sci: Environment

This course is the second part of a course dedicated to the theoretical and practical bases of Geographic Information Systems (GIS). It offers an introduction to GIS that does not require prior computer skills. It gives the opportunity to quickly acquire the basics that allow you to create spatial databases and produce geographic maps. This is a practical course that relies on the use of free Open Source software (QGIS, Geoda).

Nov 23rd 2026

5-12 Weeks

Cartography Geographic Information Systems GIS

Coursera

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam en Español (Coursera)

CS: Information & Technology

En este curso, se emplea un enfoque descendente a fin de identificar las habilidades y los conocimientos adquiridos, así como poner en evidencia la información y las áreas de habilidades que requieren una preparación adicional. Puede aprovechar este curso para crear su propio plan de preparación personalizado. Lo ayudará a distinguir lo que sabe de lo que no. Además, le permitirá desarrollar y practicar las habilidades que se les exigen a los profesionales que realizan este trabajo.

Nov 30th 2026

1 Week

Machine Learning Data Engineer Google Cloud

Coursera

The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera)

Statistics & Data Analysis Data Science

Nov 23rd 2026

4 Weeks

History China Data Science

Coursera

Genentech

Making Data Science Work for Clinical Reporting (Coursera)

Statistics & Data Analysis Data Science

This course is aimed to demonstrate how principles and methods from data science can be applied in clinical reporting. By the end of the course, learners will understand what requirements there are in reporting clinical trials, and how they impact on how data science is used. The learner will see how they can work efficiently and effectively while still ensuring that they meet the needed standards.

Nov 30th 2026

4 Weeks

Github Clinical Trials Data Science

Coursera

Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro (Coursera)

CS: Information & Technology Computer Science

Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho." Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.

Nov 23rd 2026

1 Week

Machine Learning Data Engineer Google Cloud

Coursera

FIA Business School

Ferramentas para Ciência de Dados: Introdução ao R (Coursera)

Statistics & Data Analysis

Nossas boas-vindas ao Curso Ferramentas para Ciência de Dados: Introdução ao R. Neste curso, você aprenderá que o mundo evoluiu muito quando o assunto é tomada de decisão baseada em dados e já não é possível comparar a quantidade de informações a que temos acesso atualmente com o que tínhamos disponíveis décadas atrás.

Nov 30th 2026

4 Weeks

Data Science R Language R Programming

Coursera

Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection (Coursera)

Data Science

Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.

Nov 30th 2026

4 Weeks

Artificial Intelligence Data Science Breast Cancer

Coursera

Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Statistics & Data Analysis Data Science

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Nov 23rd 2026

5-12 Weeks

MATLAB Octave Machine Learning

Coursera

Johns Hopkins University

The Unix Workbench (Coursera)

Data Science

Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software can’t be mined out of the ground, nor can software seeds be planted in spring to harvest by autumn. Software isn’t produced in factories on an assembly line. Software is a hand-made, often bespoke good. If a software developer is an artisan, then Unix is their workbench.

Nov 23rd 2026

4 Weeks

Programming Unix Machine Learning