Doing Economics: Measuring Climate Change (Coursera)

Doing Economics: Measuring Climate Change (Coursera)

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

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

After completing this course, you should be able to:
• Understand how data can be used to assess the extent of climate change
• Produce appropriate bar charts, line charts, and scatterplots to visualise data
• Calculate and interpret summary statistics (mean, median, variance, percentile, correlation)
• Explain the challenges with designing and implementing policies that address climate change
No prior knowledge in economics or statistics is required for this course. No knowledge of Excel is required, except a familiarity with the interface and how to enter and clear data.

Syllabus

Week 1
This module explains why climate change is a serious global issue, and how we can use data to understand the extent of climate change.
Week 2
This module explores the effect of climate change on temperature variability and extreme weather events, and explains how we can use statistical summary measures to document changes in temperature distributions over time.
Week 3
This module uses data to summarise the relationship between CO2 emissions and global temperatures, explains methods of identifying causal relationships between two variables, and discusses the problem of spurious correlation.
Week 4
This module explains how policymakers can use survey data and models to evaluate climate-related policies, and discusses the relationship between environmental policy and environmental quality.

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

Related Courses

Microeconomics: When Markets Fail (Coursera) Coursera
University of Pennsylvania

Microeconomics: When Markets Fail (Coursera)

Perfect markets achieve efficiency: maximizing total surplus generated. But real markets are imperfect. In this course we will explore a set of market imperfections to understand why they fail and to explore possible remedies including as antitrust policy, regulation, government intervention. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises. These will empower you to be an educated, critical thinker who can understand, analyze and evaluate market outcomes.

Jun 23rd 2026
5-12 Weeks
Financial Markets (Coursera) Coursera
Yale University

Financial Markets (Coursera)

An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries. The ultimate goal of this course is using such industries effectively and towards a better society.

Jun 22nd 2026
5-12 Weeks
Data Manipulation at Scale: Systems and Algorithms (Coursera) Coursera
University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Jun 22nd 2026
4 Weeks
Economics: Society, Markets, and [In]equality (Coursera) Coursera
Parsons School of Design, The New School

Economics: Society, Markets, and [In]equality (Coursera)

Thinking critically about today's economy can help you understand the world around you. Economics: Society, Markets, and [In]equality will pique your curiosity and inspire you to learn more about the power dynamics that determine how people and resources are valued, how goods move around the world, and how we manage our planet and the future.

Jun 27th 2026
5-12 Weeks
Firm Level Economics: Markets and Allocations (Coursera) Coursera
University of Illinois at Urbana-Champaign

Firm Level Economics: Markets and Allocations (Coursera)

In this class, we will derive equilibrium outcomes across a variety of market structures. We will begin by understanding equilibrium under a market structure called Perfect Competition, a benchmark construction. Economists have tools to measure the efficiency of market outcomes. We next consider the polar extreme of a competitive market: a monopoly market. We will determine the monopoly equilibrium price and quantity and efficiency properties. Much economic activity takes place in markets with just a handful of very large producers.

Jun 22nd 2026
4 Weeks
Practical Predictive Analytics: Models and Methods (Coursera) Coursera
University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems.

Jun 22nd 2026
4 Weeks
Business Intelligence Concepts, Tools, and Applications (Coursera) Coursera
University of Colorado System

Business Intelligence Concepts, Tools, and Applications (Coursera)

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Jun 22nd 2026
5-12 Weeks
Microeconomics Principles (Coursera) Coursera
University of Illinois at Urbana-Champaign

Microeconomics Principles (Coursera)

Most people make the incorrect assumption that economics is ONLY the study of money. My primary goal in this course is to shatter this belief. During this course, we will be addressing the above questions as well as many more relating to: the environment; love and marriage; crime; labor markets; education; politics; sports; business. My main goal is to show you the way economists think and how to use this analytical system to answer questions related not only to these and other important human issues but to anything you end up doing with your life after this class. After all, as you will quickly find out, I believe that everything is economics!

Jun 22nd 2026
5-12 Weeks
The Economics of Agro-Food Value Chains (Coursera) Coursera
Technische Universität München - TUM

The Economics of Agro-Food Value Chains (Coursera)

In this course, you learn how the agro-food value chain approaches the challenge of constantly improving its competitiveness by producing high quality food and products and also aiming to attain greater sustainability. Some of the topics of this course are: the notion of quality for food and agricultural products and consumer value; how to conduct market research in this field; labelling, branding and pricing strategies, as-well as innovation in the agro-food sector; how sustainability can be used as a competitive advantage through corporate social responsibility: the role and different types of industrial standards; the different forms of coordination in the chain, in particular with regard to the retailing and distribution sector.

Jun 24th 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Jun 22nd 2026
4 Weeks