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.
Doing Economics: Measuring Climate Change
Instructors: Eileen Tipoe
Sponsored by Coursera Learning Team
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There are 4 modules in this course
This module explains why climate change is a serious global issue, and how we can use data to understand the extent of climate change.
What's included
6 readings1 assignment2 discussion prompts
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.
What's included
7 readings1 assignment5 discussion prompts2 plugins
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.
What's included
5 readings1 assignment3 discussion prompts1 plugin
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.
What's included
7 readings2 assignments2 discussion prompts
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Reviewed on Dec 1, 2022
Found the course very interesting, and provided a good introduction into the topic. The example exercises were also thought-provoking, and provided a good balance between depth and complexity.
Reviewed on Sep 16, 2024
The course provides a lot practical and scientific experiences partaining to climate change.
Reviewed on Dec 21, 2022
It's really a 3.5 but I'll give you the .5
Recommended if you're interested in Data Science
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