Diren Senger, Kathrin Riemann-Campe & Dana Ransby
Start:
End:
Monday, 24.8. 10:00
Wednesday, 26.8. 14:15
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