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Develop forecasting skills for impactful, data-driven sustainability solutions.
After a course session ends, it will be archived.
Sustainability is a priority across industries, making data-driven decisions more critical than ever. This introductory course will equip you with foundational concepts of time-series modeling and the forecasting skills necessary to tackle sustainability challenges. Whether you are an environmental scientist, urban planner, or engineer, you will be empowered to leverage your data effectively for sustainable development.
The course offers a hands-on project centered around solar irradiance data, where you will:
Identify trends and seasonal patterns to make informed predictions in sustainable energy.
Model and forecast individual data components to apply to broader sustainability challenges.
This practical experience will give you a comprehensive understanding of how to leverage time-series modeling for real-world applications.
By the end of the course, you will have the crucial foundational skills in time-series forecasting and the ability to make impactful and informed decisions. You will be able to identify patterns, analyze trends, and forecast future outcomes.
Join us to work towards a more sustainable future, using data as a powerful tool to drive change.
By the end of this course, you will be able to:
Identify patterns in data for strategic sustainability decisions.
Forecast with industry-standard, pre-built models and tools
Model and forecast data components for broader sustainability challenges.
Evaluate and interpret time series forecast results.
