Developed by NCEO partner the IEA and University of Reading, and available for participation now, a free online MOOC will cover:
Unlocking the Copernicus Climate Data Store (up to 20 hours of learning)
• Science and data science
• Provide a checklist of learner prerequisites and hardware needs
• Overview of climate science
• Data driven discovery in climate science and climate change: techniques and data types
• Needs analysis: defining the research question through examples
• Interviews with creators of climate datasets, including EO and climate modelling
• Further reading on statistics and climate change
General introduction to C3S datasets and sectoral applications
• Explanations of observations, reanalysis, seasonal forecasts and climate projections
• Using the catalogue – worked examples
• Data: physical significances, uncertainties, missing data, data quality
• Examples of sectoral applications
Examples from the Climate Data Store
• Examples of climate indicators for sectoral applications, include at least two climate and at least two seasonal forecast
• Introduction to the toolbox, APIs and reanalysis
• Worked exercises to download, analyse and visualise datasets – observations, reanalysis, seasonal forecasts and climate projections
• Introduction to using Python APIs
The JASMIN computing cluster is hosted by Scientific Computing Division in STFC's Rutherford Appleton Laboratory R89 data centre on behalf of RAL Space researchers studying climate change and processing satellite data. Image taken on 20th March 2014
What will you achieve?
By the end of the course, you’ll be able to…
Explain the characteristics and identify sources of big data
Explore applications of data in environmental science for business
Understand the skills necessary to be a data scientist
Discuss the importance of open data and participate in citizen science
Who is the course for?
This course is aimed at professionals seeking a better understanding of environmental big data and the potential these offer to address key questions and underpin novel solutions for business.
It is also relevant to anyone studying environmental topics with a general interest in big data analytics and the complexities and issues surrounding the collection, curation and application of these vast data sets.