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Guided learning journeys that build knowledge step by step.
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This learning path equips data scientists and climate scientists with advanced skills to analyze large-scale climate data using Python and R. It covers essential climate science concepts, programming, statistics, machine learning, cloud computing, and visualization, culminating in a capstone project.
This path equips climate impact modelers with the skills to source, process, and apply climate model outputs in impact assessments. It covers data retrieval, downscaling, bias correction, uncertainty handling, and integration with impact models, emphasizing statistical rigor and practical application.
This learning path equips risk managers with the knowledge and skills to assess climate-related risks for organizations. It covers climate science fundamentals, climate data and statistics, hazard identification, vulnerability and exposure analysis, impact assessment, and risk management frameworks. The path emphasizes practical application in a professional risk management context.
A professional learning path for climate service providers to deliver actionable climate information. It covers climate data fundamentals, forecasting techniques, risk assessment, and user engagement, emphasizing science communication and decision-making.
This learning path equips media and communication students with the knowledge to analyze how media shapes climate discourse. It covers the science of climate change, media framing, journalism, misinformation, and advocacy, culminating in a practical analysis project.
This learning path equips students with the skills to communicate climate science effectively to diverse public audiences. It integrates foundational climate science, risk communication principles, framing, and practical engagement strategies, culminating in a capstone project.
This learning path equips students in social and environmental studies with the knowledge to analyze how climate change impacts differentially affect communities. It begins with climate science basics, then introduces core concepts of vulnerability, social and economic dimensions, and adaptation and resilience frameworks, culminating in practical application through case studies and indicator analysis.
This path equips urban studies students with a scientific understanding of how cities interact with climate, covering essential climate science, urban heat island mechanisms, energy use, and adaptation planning. It progresses from foundational concepts to advanced applications, enabling learners to analyze urban climate challenges and propose effective solutions.
This advanced learning path equips public health students with the knowledge and skills to understand and address the health impacts of climate change. It covers the core climate science, epidemiological methods, and specific health outcomes (heat stress, vector-borne diseases, air quality, mental health), culminating in adaptation and mitigation strategies.
This advanced learning path equips agriculture and climate students with the knowledge to assess how climate affects crop systems, from phenology and yield to pests and food security. It integrates climate science with agronomy, covering modeling, adaptation, and assessment methods. The path progresses from foundational concepts to integrated analysis and practical application.