Use current examples to explore the potential benefits of environmental big data
From weather fluctuations to the spread of an invasive species, what problems can scientists address by analysing these vast data collections? What are the potential benefits for business, research and our daily lives?
Find out about possible career paths and gain insights from industry experts and research scientists working on a range of current projects. From urban planning to monitoring wildlife, explore the complexities of managing and analysing big data to seek innovative solutions.
What topics will you cover?
Week 1: Introduction to big data
Sources of big data, including satellites for looking at the surface of the Earth
Environmental analytics and the link to big data
Computing power, processing and storage for environmental data
Week 2: Data to Discovery
The importance of open data
The challenges of working with data
The skills and knowledge of a data scientist
Week 3: Big and Small Data
Citizen science for climate simulation and ecology
Real-life examples of environmental analytics
The power of visualising data
When would you like to start?
Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more
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.
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