Data Analysis in R – Beginners Course

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

DURATION:
2 weeks, 2.5 h daily, Mondays to Fridays, 9:00 - 11:30 / 7 interactive lectures (15/3, 16/3, 17/3, 19/3, 22/3, 24/3, 26/3) and 3 sessions allocated for students to work on exercises (18/3, 23/3, 25/3),
ID:
Online lectures via Zoom. Zoom link will be provided.
CREDIT:
none

Categories

Online Learning , Tools

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.

Find more information in the pdf course description

Lecturers: Oscar Manuel Baez Villanueva & Ian McNamara

No ECTS can be gained in this course. Receive a signed participations certificate with the AGEP’s and DAAD’s  logo to verify your achievement and increase your job prospects.

 

Due to technical problems with the registration portal, students must register by:

1. Downloading and filling out the excel sheet in  the sign up button below
2. sending an email directly to ian.mcnamara@th-koeln.de with the subject “Registration for Data Analysis in R” and attaching the filled out excel sheet

Your registration is successful, when you get a confirmation email.