Diren Senger, Kathrin Riemann-Campe & Dana Ransby
Start:
Ende:
Montag, 24.8. um 10:00 Uhr
Mittwoch, 26.8. um 14:15 Uhr
Unterrichtssprache: Englisch
Kursbeschreibung:
Whether you are a stundent analysing data for your dissertation or a professional: Data Science skills are asked for in many disciplines.
In this course you will learn about several steps in the data analyis process, beginning with unprocessed data, discussing processing methods and culminating in visualisations to present your results. We will mainly work with environmental data and introduce the World Data Center PANGAEA.
R and Python are both very commonly used in the data domain and it is helpful to know the basics of both programming languages. In this course you
Voraussetzungen:
Ein Computer mit Administratorrechten sowie grundlegenden Systemkenntnissen ist erforderlich. Darüber hinaus sollten die Teilnehmenden über Grundkenntnisse in R oder Python verfügen, beispielsweise aus einer Einführungsveranstaltung ihres Studienfachs oder durch Online-Tutorials erworben. R oder Python sollte auf dem Computer installiert sein.
Biographie: Diren Senger
Dr. Diren Senger completed her PhD on sensor data of honey bee colonies at Univeristy of Bremen and is now working as a Software Engineer at AWI.
Biographie: Kathrin Riemann-Campe
Dr. Kathrin Riemann-Campe is a data manager and data editor at PANGAEA – Data Publisher for Earth & Environmental Science with a background in meteorology, physical oceanography and sea ice modelling.
Biographie: Dana Ransby
Dr. Dana Ransby is a data manager and data editor at PANGAEA – Data Publisher for Earth & Environmental Science with a background in geosciences and environmental physics.