Data Analysis in R

The objective of this course is for students to obtain and implement the skills to undertake geospatial data analysis using the R Project for Statistical Computing.

detailed course description

START:
28. September 2020
DURATION:
2 weeks, 2.5 h daily, 9:00 - 11:30
ID:
Online lectures via Zoom. Zoom link will be provided.
CREDIT:
none

In this course you will learn a programming language and how to work with large amounts of data. Not only will these skills increase the possibilities for what you can achieve in your studies, they are increasingly becoming a requirement to gain employment in many fields. They provide you numerous opportunities for the modern day professional work.

This course teaches how to use The R Project for Statistical Computing (commonly known as “R”) for data analysis, focusing on the processing and analysis of spatial and temporal datasets. The intensive course starts at a beginner level and moves to an intermediate level. Please note that the course uses examples and data analysis techniques in the fields of climate, geography and hydrology, and it is therefore recommend that students in master’s courses related to these topics attend.

Lecturers: Oscar Manuel Baez Villanueva & Ian McNamara

Find more information in the pdf course description: