Coursera

Maps and the Geospatial Revolution (Coursera)

Offered by University of Pennsylvania,
Maps and the Geospatial Revolution (Coursera)

This course brings together core concepts in cartography, geographic information systems, and spatial thinking with real-world examples to provide the fundamentals necessary to engage with Geography beyond the surface-level. We will explore what makes spatial information special, how spatial data is created, how spatial analysis is conducted, and how to design maps so that they’re effective at telling the stories we wish to share. To gain experience using this knowledge, we will work with the latest mapping and analysis software to explore geographic problems.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools. The past decade has seen an explosion of new mechanisms for understanding and using location information in widely-accessible technologies. This Geospatial Revolution has resulted in the development of consumer GPS tools, interactive web maps, and location-aware mobile devices. These radical advances are making it possible for people from all walks of life to use, collect, and understand spatial information like never before.

Syllabus

WEEK 1
Getting Started
Watch a short video to learn how this class works (it's a bit different than other MOOCs) and help make a map with your classmates.
The Changing Nature of Place
Discover the Geospatial Revolution and its impact on the rapidly evolving science of Geography.

WEEK 2
Spatial is Special
Explore what it means to think spatially and consider the impacts of scale and time.

WEEK 3
Understanding Spatial Data
Examine the key elements of spatial datasets.

WEEK 4
Doing Spatial Analysis
Learn how Geographers solve problems using spatial analysis techniques.

WEEK 5
Making Great Maps
Explore the key elements of effective cartographic design.

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

Related Courses

Practical Time Series Analysis (Coursera) Coursera
The State University of New York

Practical Time Series Analysis (Coursera)

Statistics & Data Analysis Data Science

Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics.

Nov 2nd 2026
5-12 Weeks
Statistics Probability Equations
Details
Bioinformatic Methods I (Coursera) Coursera
University of Toronto

Bioinformatic Methods I (Coursera)

Health & Society Statistics & Data Analysis

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Oct 19th 2026
5-12 Weeks
Biology Bioinformatics Molecular Biology
Details
Global Statistics - Composite Indices for International Comparisons (Coursera) Coursera
University of Geneva

Global Statistics - Composite Indices for International Comparisons (Coursera)

Statistics & Data Analysis Data Science

In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Oct 26th 2026
5-12 Weeks
Statistics Data Analysis Comparison
Details
Construção de Relacionamentos em Vendas Orientada a Dados (Coursera) Coursera
FIA Business School

Construção de Relacionamentos em Vendas Orientada a Dados (Coursera)

Statistics & Data Analysis Business

Nossas boas-vindas ao Curso Construção de Relacionamento em Vendas Orientada a Dados. Neste curso, você aprenderá métodos sobre data analytics para o ambiente dos profissionais de vendas. Ao final deste curso, você será capaz de avaliar relacionamentos entre o desempenho de vendas e os gastos relacionados; agrupar por semelhança itens, produtos ou serviços e, por fim, realizar recomendações de produtos para clientes sob características preestabelecidas.

Oct 26th 2026
4 Weeks
Sales Data Analysis Regression Modeling
Details
Visualization for Data Journalism (Coursera) Coursera
University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

Statistics & Data Analysis Data Science

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Nov 2nd 2026
5-12 Weeks
Python Storytelling Data Analysis
Details
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Nov 2nd 2026
4 Weeks
Python Data Analysis Data Science
Details
Population Health: Responsible Data Analysis (Coursera) Coursera
Leiden University

Population Health: Responsible Data Analysis (Coursera)

Statistics & Data Analysis Data Science

In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population.

Nov 2nd 2026
4 Weeks
Data Analysis R Programming Regression Analysis
Details
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Statistics & Data Analysis Data Science

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. These are done by easy to understand applications.

Nov 2nd 2026
4 Weeks
Hypothesis Data Analysis Microsoft Excel
Details
Healthcare Information Design and Visualizations (Coursera) Coursera
Northeastern University

Healthcare Information Design and Visualizations (Coursera)

Statistics & Data Analysis Data Science

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

Nov 2nd 2026
4 Weeks
Healthcare Storytelling Data Analysis
Details