Data Science for Environmental Modelling and Renewables (FutureLearn)

Offered by University of Glasgow,
Data Science for Environmental Modelling and Renewables (FutureLearn)

Learn how data science can help us understand our environment and try the tools used by statisticians and data scientists. Discover how data science can help us understand environmental change. Environmental and climate change impact our lives, but how what role does data play in informing us about such changes to our world? On this online course, we examine and explore the use of statistics and data science in better understanding the environment we live in.

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You will develop data science skills learning from experts and completing hands-on modelling activities using real world environmental data and the powerful programming language R.
You will also consider how data can help plan the use of renewable energy resources such as wind power.

What topics will you cover?

  • Time series analysis
  • Quantile regression and extremes
  • Spatial Modelling
  • Open Data and citizen science
  • Forecasting and prediction

What will you achieve?
By the end of the course, you'll be able to...

  • Access and interpret open data which are increasingly available from citizen science
  • Ability to think critically about the nature of environmental evidence and how it is used
  • Appreciate the nature of statistical models and learn how to fit, understand and critique statistical models for temporal, spatial and spatio-temporal data

-Understand and implement data science for environmental monitoring and renewables

  • Understand the nature of uncertainty and variability in environmental data
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