Join us in this essential journey at the intersection of data science and climate economics. Whether you're an experienced data scientist or an environmental enthusiast eager to make an impact, this course empowers you with the knowledge and tools to drive positive change in the fight against climate change. Enroll now and be part of the solution.
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.
Course Curriculum
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- Marginal Abatement Cost and Mitigation Potential theory 00:11:00
- Drawing the Marginal Abatement Cost Curve on Python 00:20:00
- Interpreting the Marginal Abatement Cost Curve and Cost Derivation process 00:09:00
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- Immigration analysis 00:11:00
- Theory 00:03:00
- Drawing Emissions Intensity Plots across Europe spanning 2 decades 00:33:00
- Interpretation of the plots that we produced 00:04:00
- Generation mix Application South Asia 00:24:00
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