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Data Science for Environmental Modelling and Renewables

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 This course is for people with an interest in environment and/or renewable energy and who wish to gain new skills in data science. It will also be suitable for those with an interest in data science and who wish to learn more about applications in environment and renewable energy. You don’t need to be an expert in R to take this course.

Topics Covered
  • Time series analysis
  • Quantile regression and extremes
  • Spatial Modelling
  • Open Data and citizen science
  • Forecasting and prediction
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Rating Not enough ratings
Length 6 weeks
Effort 4 hours per week
Starts Dec 13 (134 weeks ago)
Cost $59
From University of Glasgow, The University of Glasgow via FutureLearn
Instructors Charalampos Chanialidis, Ludger Evers, Jethro Browell, Anna Sehn, Marian Scott
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Language English
Subjects Engineering
Tags Science, Engineering & Maths

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Rating Not enough ratings
Length 6 weeks
Effort 4 hours per week
Starts Dec 13 (134 weeks ago)
Cost $59
From University of Glasgow, The University of Glasgow via FutureLearn
Instructors Charalampos Chanialidis, Ludger Evers, Jethro Browell, Anna Sehn, Marian Scott
Download Videos Only via web browser
Language English
Subjects Engineering
Tags Science, Engineering & Maths

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