Coursera

Maps and the Geospatial Revolution (Coursera)

Offered by University of Pennsylvania,

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

Coursera

Google Cloud

BigQuery for Data Analysts (Coursera)

CS: Information & Technology

This course is designed for data analysts who want to learn about using BigQuery for their data analysis needs. Through a combination of videos, labs, and demos, we cover various topics that discuss how to ingest, transform, and query your data in BigQuery to derive insights that can help in business decision making.

Nov 2nd 2026

5-12 Weeks

Data Analysis Data Analytics BigQuery

Coursera

Knowledge Accelerators

From Excel to Power BI (Coursera)

CS: Information & Technology

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

Nov 2nd 2026

1 Week

Excel Data Analysis Microsoft Excel

Coursera

University of Toronto

Bioinformatic Methods II (Coursera)

Sci: Biology & Life Sciences Health & Society

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 26th 2026

5-12 Weeks

Biology Bioinformatics Molecular Biology

Coursera

Johns Hopkins University

Investigating Epidemics like COVID-19: An Analyst's Guide (Coursera)

Health & Society

Do you want to learn how to detect, identify the cause, and decrease the morbidity and mortality from outbreaks or pandemics like COVID-19? Are you considering a career in public health practice, but aren’t sure how health departments collect and use outbreak data? Are you working in public health, but interested in moving into analytical and/or technical roles or curious how health departments investigate outbreaks? If so, this course is for you.

Nov 2nd 2026

4 Weeks

Data Analysis Epidemics Public Health

Coursera

Illinois Tech

Introduction to Time Series (Coursera)

Statistics & Data Analysis Data Science

This course introduces basic time series analysis and forecasting methods. Topics include stationary processes, ARMA models, modeling and forecasting using ARMA models, nonstationary and seasonal time series models, state-space models, and forecasting techniques.

Oct 26th 2026

5-12 Weeks

Data Analysis Statistical Analysis Forecasting

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

Coursera

Yonsei University

Spatial Data Science and Applications (Coursera)

Statistics & Data Analysis Data Science

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts.

Nov 2nd 2026

5-12 Weeks

Hadoop Geographic Information Systems GIS

Coursera

École Polytechnique Fédérale de Lausanne

Éléments de Géomatique (Coursera)

Sci: Mathematics Sci: Physical & Earth Sciences

Les nouvelles technologies de l’information ont facilité l’accès à de nombreuses bases de données offrant au grand public, mais surtout aux professionnels, une multitude de services. Le domaine de l’information géographique a également suivi ce mouvement en modernisant l’ensemble des supports, des plans, des cartes topographiques et de tous les types de données à référence spatiale. Face au déploiement massif des cartes numériques et des nombreux services basés sur la localisation, il s’agit de rester critique et surtout de développer les capacités nécessaires afin de choisir les outils et jeux de géodonnées adaptés aux besoins professionnels.

Oct 19th 2026

5-12 Weeks

GIS Géomatique Géodésie

Coursera

Rutgers University

Supply Chain Analytics Essentials (Coursera)

Business

In this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area where supply chain management meets data analytics. You will learn real life examples on how analytics can be applied to various domains of a supply chain, from selling, to logistics, production and sourcing, to generate a significant social / economic impact.

Nov 2nd 2026

4 Weeks

Data Analysis Supply Chain Supply Chain Analytics

Coursera

Google Cloud

Analyzing and Visualizing Data in Looker (Coursera)

CS: Information & Technology

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

Oct 26th 2026

2 Weeks

Data Analysis Data Visualization Data Exploration

Coursera

Stanford University

Introduction to Statistics (Coursera)

Statistics & Data Analysis Data Science

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

Nov 2nd 2026

5-12 Weeks

Statistics Analysis Probability

Coursera

Rutgers University

Business Intelligence and Competitive Analysis (Coursera)

Business

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Oct 26th 2026

4 Weeks

Data Analysis Business Intelligence Benchmarking