Climate Change Economics using Data Science

Unlock the power of data science in addressing one of the most critical global challenges - climate change. This course delves into the economics of climate change and equips you with the skills to analyze and understand crucial environmental and energy-related data. From evaluating low carbon actions to tracking progress in renewables, this course combines data science and climate economics for a comprehensive approach.

What Will You Learn?

• Evaluate the effectiveness of low carbon actions in reducing greenhouse gas emissions (GHG).
• Perform data-driven analysis of climate change immigration patterns.
• Utilize data science to track carbon emissions intensity.
• Monitor and assess the progress of electricity access on a global scale.
• Analyze data to understand the evolving share of renewables in the electricity generation mix.

Who Should Take The Course?

• Data scientists and analysts interested in climate change and environmental data.
• Environmental economists seeking to enhance their data analysis skills.
• Policy makers and researchers working on climate and energy-related projects.
• Students and professionals passionate about addressing climate change through data science.

Requirements

• A basic understanding of data science and statistical analysis.
• Proficiency in programming languages such as Python and data manipulation libraries.
• Access to relevant datasets or the ability to source data for analysis.
• A strong interest in climate change, economics, and the application of data science for real-world solutions.