Data Science for Climate Change

Get started with data science and learn what it is, how it is used, and the societal influence it can have on big issues such as climate change.

About the course

Data science is a powerful approach that can help practitioners and policy makers to understand the uncertainties and ambiguities inherent in data, to identify interventions, strategies and solutions that realize the benefits to humanity and the environment, and to evaluate and sometimes conflicting - decision makers' objectives. In this MOOC course, we introduce methods relating to the growing field of data science and apply them to issues relevant to climate change.

Topics

• Data Science
• Analytics as a process
• Data-driven decisions
• Climate change
• Applications of data science in climate change

Course content

• Understanding data science
• Learn about the sources of big data
• Understand the basics of climate change, its impacts and sustainable development goals
• Get to know data-driven decisions and how they are made
• Highlight some climate change challenges that are directly or indirectly related to data science
• Apply data science knowledge and skills to make climate change related decisions
• Learn how others have used data science in the context of addressing climate change problems.

What will you learn?

By the end of the course, you will be able to: obtain and analyse data sets; make data-driven decisions; identify and address climate change challenges using data science.

Who is the course for?

This course is designed for those who want to improve their analysis and data-driven decision-making skills, with an emphasis on using such skills to address climate change challenges. The course will also be useful for practitioners and policy makers as they can benefit from understanding the uncertainties and ambiguities present in data and using them to identify interventions, strategies and solutions that realize benefits for humanity and the environment.

Registration

• Register here External link, opens in new window.