Do you want to get into the state-of-the-art way of doing data science in academia? Register for this workshop where you will learn the first steps of importing, manipulating and cleaning data sets in R using the tidyverse package. At the end of this workshop, you will be able to import data sets of different […]
If you want to up your game in data science with R, this is the workshop for you. We will build on your knowledge of the "Introduction to Data Science with R" or the "R summer camp" workshop to cover more functions of the tidyverse package, go into how to join different data sets, hwo […]
New to programming? Join us for the full length of the workshop to get an extensive introduction to Python syntax, control flow, and native data structures. Want to upgrade your GIS skills? Hop on the call at 7:00 pm for a presentation of spatial analysis using Python and ArcGIS. At the end of the workshop, […]
The R coding environment is pretty well suited to process raster data set for quite a long time. Join our workshop to see how to import, process and display geospatial raster data. At the end of this workshop you will be able to import geospatial raster data from different sources and file formats prepare raster […]
Three common options for storage are text files, spreadsheets, and databases. Text files are easiest to create, and work well with version control, but then we would have to build search and analysis tools ourselves. Spreadsheets are good for doing simple analyses, but they don’t handle large or complex data sets well. Databases, however, include […]
Do you want to learn how you could use R to create a reproducible remote sensing workflow and analysis? This you your workshop. Please make sure you meet the prerequisites. At the end of this workshop, you will be able to search and download satellite images with R (e.g. Landsat8 and Sentinel) work with satellite […]
