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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/doing-economics-measuring-climate-change
课程评论：没有评论
课程名称：经济学实践：气候变化衡量 概述：本课程将为您提供处理真实数据的实践经验，应用于当今社会的重要政策问题。每周，您将学习特定的数据处理技能（使用Excel），并利用这些技术分析气候变化数据，同时配有相关阅读材料，以便您了解所处理数据的背景。您还将学习气候变化的后果以及政府如何应对这一问题。 完成本课程后，您应能够： • 理解如何使用数据评估气候变化的程度 • 制作适当的条形图、折线图和散点图以可视化数据 • 计算和解释摘要统计数据（均值、中位数、方差、百分位数、相关性） • 解释设计和实施应对气候变化政策的挑战 该课程无需您具备经济学或统计学的先前知识，只需对Excel的界面和数据的输入与清除有一定了解即可。 课程大纲： 第1周：本模块解释气候变化为何是一个严峻的全球性问题，以及我们如何利用数据理解气候变化的程度。 第2周：本模块探讨气候变化对温度变化和极端天气事件的影响，并解释如何使用统计摘要指标记录温度分布随时间的变化。 第3周：本模块利用数据总结CO2排放与全球温度之间的关系，解释识别两个变量之间因果关系的方法，并讨论虚假相关性的问题。 第4周：本模块解释决策者如何使用调查数据和模型评估气候相关政策，并讨论环境政策与环境质量之间的关系。
Name:Week 1
Description:This module explains why climate change is a serious global issue, and how we can use data to understand the extent of climate change.
Name:Week 2
Description: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.
Name:Week 3
Description: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.
Name:Week 4
Description: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.
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. 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.
