Statistical Analyses for Environmental Science with R and Rstudio
April 26 - May 3
Course overview
This course will cover some advanced issues in most statistical computing workflow for Environmental Science. We will cover several aspects of data structure and workspace management, visualization techniques and statistical analysis using the free platforms and programming language R and Rstudio.
The course is given in four modules covering exploratory data analysis, univariate and multivariate statistical techniques and a final discussion session where students will work and discuss their projects.
Requirements
Graduate or postgraduate degree in Life Sciences and basic knowledge of Statistics and R.
All participants must have a computer (Windows, Macintosh, Linux). Webcam and headphones are strongly recommended, as well as a good internet connection.
GPC members/readers can benefit from a 20% discount in this course fees through the special discount code: GC927384.
Please note, due to Coronavirus outbreak, many of the conferences are either postponed or cancelled.
Please check directly with the events organizers
