Big Data and the Environment runs again from March 25th
Our hugely successful open online course is open for registration
Extend your data skills by signing up for this free course and refresh your approach to data and its uses, with tutorials from world-leading experts, videos and self-paced learning.
Whether you want to update your knowledge, improve your CV, prepare for further study or join a citizen science project, Big Data and the Environment covers a range of environmental and wider science data topics and techniques.
Thousands of people from around the world have already expanded their skills using Big Data and the Environment, which has been carefully researched and delivered by the Institute for Environmental Analytics (IEA) and University of Reading.
Watch clips from the course
You can watch clips from the course, including advice from renowned Professor of Climate Science Ed Hawkins, creator of the climate change spiral and climate change stripes data visualisations on the IEA’s YouTube channel.
Vicky Lucas, IEA Training Manager, says: “The 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 science teachers and 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.”
Big Data and the Environment will help you to look at the world around you in a digital way, measuring, quantifying and analysing the environment and our impact on it. You can also benefit from the support of highly qualified mentors interacting with your comments and questions.
Vicky adds: “From invasive species to climate change to urban planning, explore the ever-evolving world of environmental data. Measuring the environment generates big data and vast datasets need careful handling to analyse and understand the world around us. From sources such as satellites, sensors and social media, environmental data analytics can benefit business and research.
“In week one we look at sources of big data and the business opportunities of analytics. In the second week we talk to data scientists and the challenge of finding the right dataset, including making data open. In the third and final week we show the value of citizen science and the power of visualising data, along with real-life examples of environmental analytics.”
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
Sign up to the free Big Data and the Environment course now https://www.futurelearn.com/courses/big-data-and-the-environment