ARIMA Machine Learning- timeseries forecasts. CO2 case study
ML based forecasting of CO2 series for various regions
ARIMA Machine Learning- timeseries forecasts. CO2 case study free download
ML based forecasting of CO2 series for various regions
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3.Course overview: This course teaches you how to forecast CO₂ emissions using both linear regression and ARIMA techniques, applying them to real-world historical emissions data from the World Bank. You'll follow a clear, 10-step methodology designed to ensure statistical robustness and scientific credibility in your forecasts. The course includes case studies covering major global regions such as India, China, the USA, UK, France, the EU, and global averages, helping you understand regional emission trends. You'll learn how to validate your models using advanced statistical tests, quantify uncertainty, and interpret results with precision. These hands-on forecasting exercises will enhance your ability to apply data-driven insights to environmental and economic scenarios. By the end of the course, you'll be able to produce accurate long-term CO₂ forecasts and contribute meaningfully to sustainable policy, corporate planning, or climate risk analysis. The course also builds confidence in using time series methods for real-world decision-making contexts.
This course is essential for individuals interested in climate analytics, energy economics, or sustainability-focused data science. For students in environmental science, economics, or data analytics, it offers practical modeling skills directly applicable to real-world policy and planning. Aspiring energy economists and sustainability professionals will benefit from the focus on statistical rigor and region-specific forecasting. For professionals in government agencies, consulting firms, NGOs, and international organizations, the ability to produce and interpret reliable long-term CO₂ emission forecasts is increasingly vital. Relevant careers include climate policy analyst, energy forecaster, environmental data scientist, sustainability strategist, and emissions consultant. With global climate targets becoming more ambitious, these forecasting skills are in high demand across sectors shaping the energy transition and decarbonization pathways.
