Diren Senger, Kathrin Riemann-Campe & Dana Ransby
Start:
End:
Monday, 24.8. 10:00
Wednesday, 26.8. 14:15
Language: English
Credit Points: 1 CP upon agreement with the lecturers
Course description:
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
Prerequisites:
A computer with administrative rights and system knowledge is necessary. Participants should also have basic knowledge of R or Python, for example from an introductory course in their field of studies or from online tutorials. R or Python should be installed on computer.
Biography: 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.
Biography: 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.
Biography: 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.