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Welcome to Week 2

Welcome back.

Last week you explored different types of big data and the associated storing and processing requirements for such large datasets. This week, you’ll investigate the processes that underpin finding and analysing data and the skills needed to do this efficiently. You’ll hear from IEA experts on how they approach their projects and why data science is a ‘team sport’.

You’ll also discuss the advantages of making data open and accessible, with few or no restrictions on its re-use so that others can use it for new purposes. You’ll learn about the philosophy behind open data and the current research projects which are using it, for example to track and measure impacts of particular products on deforestation.

But first, to gain a greater understanding of the principles above, why not try and analyse an open dataset for yourself? In the next Steps, you’ll download and explore a dataset on power usage in London from the Greater London Authority Store. What types of analysis might you perform on this dataset? How would you communicate the findings from your analyses to a wider audience? What are the associated data ethics when using open data?

We look forward to hearing how you get on in the comments sections throughout the week.

You may find this course glossary helpful.


You can find the answers to the crossword from the previous Week here.


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This article is from the free online course:

Big Data and the Environment

University of Reading

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