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Methods for the Exploitation of Data in Oceanography

-      Programming in R
-      Samples processing: semi-automated plankton sorting
-      Zooplankton distribution and biomass estimation
-      Data mining: PCA, CA, clustering, introduction to machine learning
-      Spatial interpolation: numerical interpolation and kriging
-      Signal processing
-      Processing of Argo floats data
-      Personal data exploitation project based on real cruise data